ananttripathi
🟢 **Open to Senior ML/AI Engineering roles & AI consulting opportunities**
📍 Bengaluru, India • ⚡ Usually responds within 24h • 🌐 [ananttripathi.github.io](https://ananttripathi.github.io/)
🟢 **Open to Senior ML/AI Engineering roles & AI consulting opportunities**
📍 Bengaluru, India • ⚡ Usually responds within 24h • 🌐 [ananttripathi.github.io](https://ananttripathi.github.io/)
| **Connect** [](https://linkedin.com/in/ananttripathiak) [](https://ananttripathi.github.io/Anant-Portfolio/) [](https://www.kaggle.com/anantkumartripathi) [](https://huggingface.co/ananttripathiak) | **Certifications** [](https://www.coursera.org/specializations/machine-learning-introduction) [](https://www.ibm.com/training/badges) [](https://cloud.google.com/learn/certification) | **Project Links** [](https://huggingface.co/spaces/ananttripathiak/wellness-tourism-prediction) [](https://huggingface.co/spaces/ananttripathiak/airline-hr-policy-bot) [](https://huggingface.co/spaces/ananttripathiak/pneumonia-detection-space) [](https://github.com/ananttripathi/Medical-RAG-System) [](https://github.com/ananttripathi/Resume-Analyzer-MLOps) [](https://ananttripathi.github.io/Senior-Data-Scientist-Roadmap/) [](https://github.com/ananttripathi/DSCode) |
🌌 About Me
“Building intelligent systems that don’t just predict the future—they optimize it.”
I’m a Senior ML & AI Engineer with 5+ years of experience building production-grade AI solutions across LLMs, optimization, and predictive analytics. Currently leading data science initiatives at Axtria – Ingenious Insights while pursuing 3 advanced AI/ML programs simultaneously (UT Austin, IIIT Bangalore, Deakin University).
What I Do:
- 🧠 Build and deploy GenAI applications using LLMs, RAG systems, and Azure OpenAI
- 🎯 Architect marketing mix optimization platforms serving Fortune 500 pharma clients (Bayer, Merck, Novartis, Janssen)
- 🚀 Design scalable MLOps pipelines with Docker, MLflow, FastAPI, and CI/CD automation
- 📊 Lead cross-functional teams delivering 25+ data science projects with measurable business impact
- 🎓 Mentor engineers and train 70+ professionals in ML, Python, SQL, and optimization strategies
- 🏗️ Own 10+ product capabilities from design to deployment with enterprise-scale impact
Career Highlights:
- 🏆 4 promotions in 3.5 years: Analyst → Associate → Senior Associate → Project Leader
- ⚡ 98-100% error-free delivery rate across production releases
- 🎯 95%+ on-time delivery for 10+ major product capabilities
- 💡 Led GenAI integration using Azure OpenAI improving user engagement by 40%
- 🚀 Reduced execution time by 72% and memory consumption by 63%
- 📈 Increased HCP adoption rates by 38% and model accuracy by 35%
🔨 Currently Building
| Project | What | Status |
|---|---|---|
| RAG-based Medical Assistant | Deploying ChromaDB + Mistral 7B medical Q&A to Hugging Face Spaces | 🟡 In Progress |
| File Whisperer v2 | Adding multi-doc support and streaming responses | 🟡 In Progress |
| Deakin MDS Program | Advanced data science coursework: analytics, modeling, business insights | 🟢 Active |
| IIIT Bangalore: Agentic AI | Multi-agent systems, LLM orchestration, tool-use patterns | 🟢 Active |
| UT Austin: AI/ML PGP | Capstone project: production ML system design | 🟢 Active |
🗓️ Last updated: April 2026
☕ Support My Work
[](https://github.com/sponsors/ananttripathi)
[](https://www.buymeacoffee.com/ananttripathi)
Your support helps me create more open-source projects and share knowledge with the community.
⚡ Impact Metrics
| Metric | Achievement | Domain |
|---|---|---|
| Performance Optimization | 72% reduction in execution time | Algorithm Engineering |
| Memory Efficiency | 63% decrease in consumption | Enterprise Data Pipelines |
| Business Impact | 38% increase in adoption rates | Predictive Analytics |
| Model Accuracy | 35% improvement in precision | HCP Targeting Models |
| Leadership | Trained 70+ professionals | Python, SQL, Optimization |
| Project Delivery | 25+ successful deployments | Healthcare & Marketing |
| Team Management | Led 5+ data scientists | Cross-functional Collaboration |
| API Architecture | Built Pre/Post-Optimization APIs | System Design & Scalability |
🛠️ Tech Stack & Expertise
AI & Machine Learning
Specializations: Machine Learning • Deep Learning • Predictive Analytics • Statistical Modeling • Feature Engineering • Time Series Forecasting • Computer Vision • NLP
Generative AI & LLMs
Expertise: RAG Systems • Prompt Engineering • LLM Fine-Tuning • Embeddings • Semantic Search • Inference Optimization • LlamaIndex
MLOps & Cloud
Data Engineering & Databases
Vector Databases: FAISS • Pinecone • Weaviate
Development & Collaboration
🚀 Featured Projects
🎯 MMX Platform - Marketing Mix Optimization
Tech Stack: Python • Optimization Algorithms • Azure • MLOps • SaaS
- Led development of enterprise-scale Marketing Mix Modeling framework for Fortune 500 pharma clients
- Architected 10+ optimization capabilities including Portfolio Optimization, Multi-Level Constraints, and Monthly Gating
- Implemented advanced algorithms (COBYLA, SLSQP, etc.) with non-linear response modeling
- Delivered 25+ MMM projects for Bayer, Merck, Novartis, Janssen with measurable ROI improvements
- Built Pre/Post-Optimization APIs reducing execution time by 72% and memory by 63%
🛠️ Apps & Tools
| #### 📄 File Whisperer — RAG Document Chat [](https://github.com/ananttripathi/File-whisperer) [](https://file-whisperer1.vercel.app)  Upload any PDF, DOCX, or TXT and chat with it using AI. **RAG-powered** document Q&A with **FastAPI** backend, **pgvector** semantic search, and **Cohere** embeddings. Supports BYOK (Bring Your Own Key). **Stack:** Python • FastAPI • LangChain • pgvector • Cohere • React • Vercel | #### ✂️ Snip-URL — URL Shortener [](https://github.com/ananttripathi/Snip-URL) [](https://snip-url-alpha.vercel.app)  Fast, lightweight URL shortener with **click analytics**, **custom aliases**, and **link expiry**. Node.js + Express backend on Hugging Face Spaces, PostgreSQL on Neon, frontend on Vercel. **Stack:** Node.js • Express • PostgreSQL • Neon • Vercel • Hugging Face |
| #### 🔍 Code Differentiator — Diff Tool [](https://github.com/ananttripathi/code-differentiator) [](https://ananttripathi.github.io/code-differentiator/)  Client-side code & text diff tool — paste or upload files, compare with **syntax-aware highlighting**. Supports Jupyter notebooks, privacy-first (no data sent to server). **Stack:** JavaScript • HTML5 • CSS3 • GitHub Pages | #### ⚙️ YAML Payload Conversion [](https://github.com/ananttripathi/YAML-Payload-Conversion) [](https://ananttripathi.github.io/YAML-Payload-Conversion/)  Web app converting YAML configurations to Python variable assignments in real-time. Privacy-first, fully client-side processing with **js-yaml**. **Stack:** JavaScript • js-yaml • HTML5 • CSS3 • GitHub Pages |
MLOps & Production ML
| #### 🎯 Tourism Package Prediction — MLOps Pipeline [](https://github.com/ananttripathi/Tourism_Project) [](https://huggingface.co/spaces/ananttripathiak/wellness-tourism-prediction)  End-to-end MLOps pipeline for predicting customer purchase of wellness tourism packages. **XGBoost** classification with **MLflow** tracking, **Hugging Face** data/model versioning, **GitHub Actions** CI/CD, and **Dockerized Streamlit** deployment. **Stack:** Python • XGBoost • MLflow • Docker • GitHub Actions • Streamlit • Hugging Face | #### 🔧 Engine Predictive Maintenance — MLOps Pipeline [](https://github.com/ananttripathi/engine-pm-project) [](https://huggingface.co/spaces/ananttripathiak/engine-predictive-maintenance)  End-to-end MLOps pipeline for engine failure classification using 6 sensor inputs (RPM, oil/fuel/coolant pressure, temperature). **MLflow** experiment tracking, **GitHub Actions** CI/CD, and **Dockerized Streamlit** deployment on Hugging Face Spaces. **Stack:** Python • Scikit-learn • XGBoost • MLflow • Docker • GitHub Actions • Streamlit • Hugging Face |
Computer Vision & Deep Learning
| #### 🏥 Pneumonia Detection from Chest X-Ray [](https://github.com/ananttripathi/Pneumonia-Detection-Project) [](https://huggingface.co/spaces/ananttripathiak/pneumonia-detection-space) [](https://huggingface.co/ananttripathiak/pneumonia-detection-model)  End-to-end deep learning system for detecting pneumonia from chest X-rays. Trained on the RSNA dataset (26,000+ images) using **EfficientNetB3** transfer learning. Supports DICOM and standard image formats with confidence scoring and clinical recommendations. **Model Performance:** 74.76% validation accuracy · 3-class classification (Normal / Lung Opacity / Not Normal) **Stack:** Python • TensorFlow • EfficientNetB3 • CNN • Transfer Learning • Streamlit • Docker • Hugging Face Hub |
Generative AI & RAG
| #### 🏥 Medical RAG Assistant [](https://github.com/ananttripathi/Medical-RAG-System)  RAG-based medical Q&A over the **Merck Manual (19th ed.)**. **ChromaDB** semantic search, **GTE-large** embeddings, **Mistral 7B** (GGUF) for answer generation. Runs fully locally for privacy with optional GPU acceleration. **Stack:** Python • LangChain • ChromaDB • Mistral • Sentence-Transformers • Jupyter | #### ✈️ Airline HR Policy Bot [](https://github.com/ananttripathi/Airline-QnA-Bot) [](https://huggingface.co/spaces/ananttripathiak/airline-hr-policy-bot)  RAG-powered HR policy Q&A bot for Flykite Airlines employee handbook. Answers employee questions from a PDF knowledge base with page-level citations. Deployed on Hugging Face Spaces with GitHub Actions CI/CD auto-deploy pipeline. **Stack:** Python • LangChain • FAISS • Groq (LLaMA 3.3 70B) • sentence-transformers • Gradio • GitHub Actions |
| #### 🍔 FoodHub AI Customer Support [](https://github.com/ananttripathi/Food-Chatbot-Agentic-AI) [](https://huggingface.co/spaces/ananttripathiak/foodhub-chatbot)  Agentic AI chatbot for food-delivery order support. A **SQL agent** queries a live orders database and an **LLM** formats the response into natural, empathetic replies. Includes guardrails for blocked queries and automatic escalation to human agents. **Stack:** Python • LangChain • Groq (LLaMA 4) • SQLite • SQL Agent • Gradio • GitHub Actions |
Marketing Analytics & Optimization
| #### 📊 MMM — Marketing Mix Modelling [](https://github.com/ananttripathi/MMM-Marketing-Mix-Modelling) [](https://marketing-mix-modelling.streamlit.app)  Marketing Mix Modelling app: attribute sales/revenue to channels with **adstock**, **saturation transforms**, and ROI/mROI. Streamlit wizard, 5 model types (Linear, Ridge, Lasso, Bayesian), segment analysis. **Stack:** Python • Streamlit • Scikit-learn • Bayesian • Optimization | #### 📄 Resume Analyzer — ATS Optimization [](https://github.com/ananttripathi/Resume-Analyzer-MLOps) [](https://huggingface.co/spaces/ananttripathiak/resume-analyzer)  AI-powered MLOps platform that optimizes your resume for **Applicant Tracking Systems**. ATS scoring, keyword analysis, skill gap insights, and smart job matching. **Stack:** Python • NLP • MLOps • Streamlit • AI |
Learning Platforms & Resources
| #### 📚 Senior Data Scientist Roadmap [](https://github.com/ananttripathi/Senior-Data-Scientist-Roadmap) [](https://ananttripathi.github.io/Senior-Data-Scientist-Roadmap/)  Interactive roadmap for **Data Engineer**, **Data Scientist**, **ML Engineer**, **AI Engineer** paths. Progress tracking, clickable topics with resources, study schedules, and interview prep. **Stack:** HTML • CSS • JavaScript • GitHub Pages | #### 💻 DSCode — Data Science Learning Platform [](https://github.com/ananttripathi/DSCode) [](https://ananttripathi.github.io/DSCode/)  Free, comprehensive learning platform for mastering Data Science, AI, and ML. **445+ curated problems** across 16 topics: Python, ML, Deep Learning, NLP, Computer Vision, and more. **Stack:** HTML • JavaScript • Problem-solving • Education |
Portfolios & Academic Projects
| #### 🌐 Anant Portfolio [](https://github.com/ananttripathi/ananttripathi.github.io) [](https://ananttripathi.github.io/)  Professional portfolio website: ML/AI projects, Generative AI & MLOps experience, marketing analytics, and product optimization. Apple-inspired design, responsive, FormSubmit contact. **Stack:** HTML5 • CSS3 • JavaScript • GitHub Pages | #### 📓 AI-ML Projects — UT Austin [](https://github.com/ananttripathi/AI-ML-Projects-UT-Austin)  Comprehensive AI & ML project portfolio from **University of Texas at Austin** PG Program. Real-world data science and machine learning solutions across multiple domains. **Stack:** Jupyter • Python • Scikit-learn • Neural Networks • MLOps |
Program Portfolios
| Project | Description |
|---|---|
| MDS-Deakin-University | Data science projects from Deakin University MDS program — analytics, modeling, business insights |
| PGP-Applied-AI-Agentic-AI-IIITB | Applied AI & Agentic AI from IIIT Bangalore — LLMs, RAG, multi-agent systems |
| System-Design | System design roadmaps for SDE, ML Engineer, AI Engineer, Data Scientist, Data Engineer |
| Anant-Tripathi | Cyberpunk-inspired portfolio with particle animation |
💼 Professional Experience
🏢 Axtria – Ingenious Insights | Bengaluru, India
Career Progression (4 promotions in 3.5 years):
Project Leader – Data Science / ML (May 2024 – Present)
- Leading 10+ major product capabilities with 95%+ on-time delivery and 98-100% error-free releases
- Architecting scalable optimization systems serving enterprise pharmaceutical clients
- Mentoring team of 5+ data scientists and training 70+ employees
Senior Associate – Data Scientist (May 2023 – Apr 2024)
- Owned MMX optimization enhancements and algorithm implementations (COBYLA, SLSQP, CCSA)
- Led high-impact POCs including Grid Selection, LSTM forecasting, and execution time optimization
- Supported multiple global projects for Novartis brands across Poland and Germany
Associate – Data Scientist (May 2022 – Apr 2023)
- Delivered client-specific enhancements for Janssen and Novartis with custom segmentation
- Designed performance-optimized workflows improving memory utilization significantly
- Researched and validated SLSQP algorithm implementation for Optimization API
Analyst – Data Scientist (Jul 2021 – Apr 2022)
- Built Early Adopter Predictor increasing HCP targeting adoption by 38%
- Delivered 5 Marketing Mix Modeling projects for top US pharma clients
- Established foundation in MMM techniques and analytics workflow delivery
🎓 Education
-
🎓 Deakin University, Australia Masters of Data Science (Jun 2026 – Jun 2027) -
🎓 International Institute of Information Technology, Bangalore Executive PGP in Applied AI & Agentic AI (Dec 2025 – Aug 2026) -
🎓 The University of Texas at Austin, USA Post Graduate Program in Artificial Intelligence & Machine Learning (Feb 2025 – Mar 2026) -
🎓 Birla Institute of Technology and Science, Pilani B.E. & M.Sc. (Integrated) in Electrical and Electronics (Aug 2016 – Jun 2021)
🏆 Professional Certifications
- ✅ Machine Learning Specialization – Stanford University & Deeplearning.ai (Andrew Ng)
- Comprehensive coursework in supervised/unsupervised learning, neural networks, and ML best practices
- ✅ Generative AI for Software Developers – IBM
- Practical applications of GenAI in software engineering workflows
- ✅ Introduction to Generative AI – Google Cloud
- Core concepts and cloud deployment of GenAI solutions
🥇 Awards & Recognition
- 🏅 Right Brigade Award (Axtria) – Recognized for exemplary display of “RIGHT” values: Responsiveness, Integrity, Get going, Humble, and Team Player
- 🏅 Bravo Award (Axtria) – Honored for delivering high-quality work, exemplary performance, and strong client appreciation across multiple high-stakes projects
## 📊 GitHub Statistics & Activity
🏆 GitHub Trophies
✍️ Random Dev Quote
📊 Current Focus Areas
current_focus = {
"research": [
"Agentic AI Systems",
"RAG Architectures & Vector Search",
"LLM Fine-Tuning & Inference Optimization",
"Multi-Agent Coordination"
],
"engineering": [
"MLOps Pipelines & Automation",
"System Architecture & API Design",
"Optimization Algorithms (COBYLA, SLSQP, CCSA)",
"Real-time Model Serving"
],
"business": [
"Marketing Mix Modeling (MMM)",
"Portfolio Optimization",
"Product Leadership & Strategy",
"Enterprise AI Solutions"
],
"learning": [
"Advanced AI/ML Research (UT Austin)",
"Applied AI & Agentic Systems (IIIT Bangalore)",
"Data Science Mastery (Deakin University)",
"Distributed Computing & Cloud Architecture"
],
"teaching": [
"Training 70+ professionals",
"Technical mentorship",
"Knowledge sharing & documentation"
]
}
🎯 Key Technical Expertise
Generative AI & LLMs
- Azure OpenAI integration and production deployment
- RAG system architecture with vector databases (FAISS, Pinecone, Weaviate)
- Prompt engineering and LLM fine-tuning
- Embeddings and semantic search optimization
- LangChain and LlamaIndex workflows
Marketing Analytics & Optimization
- Marketing Mix Modeling (MMM) with 25+ delivered projects
- Advanced optimization algorithms: COBYLA, SLSQP, CCSA
- Non-linear response curves (S-curves, diminishing returns)
- Portfolio-level optimization with multi-level constraints
- Budget planning and profit maximization scenarios
Machine Learning & Predictive Analytics
- Supervised learning: Random Forest, XGBoost, Logistic Regression
- Time series forecasting and anomaly detection
- Early adopter prediction and HCP targeting
- A/B testing, experiment design, and causal inference
- Model evaluation and hyperparameter optimization
MLOps & Production Engineering
- End-to-end pipeline automation with CI/CD
- Docker containerization and FastAPI deployment
- MLflow for experiment tracking and model versioning
- Cloud deployment: AWS, Azure, GCP, Databricks
- Performance optimization: 72% execution time reduction, 63% memory reduction
☕ Support My Work
[](https://github.com/sponsors/ananttripathi)
[](https://www.buymeacoffee.com/ananttripathi)
Your support helps me create more open-source projects and share knowledge with the community.
🤝 Let’s Connect!
I’m always interested in:
- 🚀 Collaborating on AI/ML projects
- 💡 Discussing GenAI, LLMs, and optimization strategies
- 📚 Sharing knowledge on MLOps and production ML systems
- 🎯 Exploring opportunities in ML Engineering and AI Research
Reach out:
⭐️ From ananttripathi - Building the future of AI, one model at a time