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Fresher | Software Engineer Full Stack Engineer | Python, Java, AI | Building intelligent cloud apps | Open to roles

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Hi, I'm Hariharasudhan M!

AI/ML Engineer | Open to learn and grow

Building production-grade AI systems that solve real-world problems. Specialized in RAG pipelines, LLM fine-tuning, prompt engineering, and scalable ML deployment. From concept to deployment, I create AI solutions with measurable impact.


What I Do

  • Generative AI & RAG Systems: Building production RAG pipelines with 82% hallucination reduction
  • LLM Fine-tuning & Optimization: PEFT, prompt engineering, context optimization
  • ML & Deep Learning: End-to-end pipelines from data engineering to deployment
  • AI Architecture: Vector databases, graph DBs, state machines, and LLM orchestration
  • MLOps: Docker, FastAPI, model versioning, evaluation frameworks

Tech Stack

AI/ML & Deep Learning

Python PyTorch Scikit Learn Machine Learning Deep Learning

Generative AI & RAG

LangChain HuggingFace ChromaDB Neo4j Transformers RAG

MLOps & Deployment

FastAPI Flask Docker Git GitHub REST API

Cloud & Tools

GCP Airflow

Programming Languages

Python Java JavaScript SQL


๐ŸŽฏ Core Expertise

Machine Learning & Deep Learning
Deep Learning (PyTorch) โ€ข Scikit-learn โ€ข Mathematics & First Principles โ€ข ML Algorithms

Generative AI & NLP
LLM Fine-tuning (PEFT) โ€ข Transformers โ€ข Vector Databases (ChromaDB) โ€ข Graph Databases (Neo4j) โ€ข Embeddings โ€ข RAG Pipelines โ€ข Tokenization โ€ข Prompt Engineering โ€ข Context Optimization

MLOps & Deployment
Model Packaging & Versioning โ€ข Docker โ€ข Git/GitHub โ€ข REST APIs โ€ข FastAPI โ€ข Flask

Tools & Frameworks
LangChain โ€ข Hugging Face โ€ข Apache Airflow (basics) โ€ข Google Cloud Platform

Featured Projects

Production-grade RAG system with LLM orchestration and multi-model ML pipeline

  • ๐ŸŽฏ 82% hallucination reduction using Delta State Graph architecture
  • ๐Ÿ“Š 5 predictive ML models (churn, demand forecasting, sentiment, anomaly, cohort analysis)
  • ๐Ÿ”„ RAG pipeline with ChromaDB vector database + SQL cross-validation
  • ๐Ÿ› ๏ธ 65% reliability through context optimization and prompt engineering
  • ๐Ÿ’ป Tech: Python, PyTorch, LangChain, ChromaDB, FastAPI, XGBoost
  • ๐Ÿงฌ PEFT (LoRA) for efficient fine-tuning on limited compute
  • ๐Ÿ“Š Custom dataset curation from 42K+ real-world samples

Key Innovation: Designed a state-tracking system that separates known/missing/assumed data to minimize LLM hallucinations and improve answer reliability.


Graph-based RAG system for supply chain disruption prediction

  • ๐Ÿ“ˆ 200K+ nodes modeled in Neo4j for multi-hop disruption tracing
  • ๐Ÿ’ฐ 5-10 crore revenue loss prevention through predictive stockout scenarios
  • โš™๏ธ 45% token cost reduction via custom DCBA algorithm (cuts redundant LLM calls)
  • ๐Ÿ”— Knowledge Graph + RAG for intelligent supply chain insights
  • ๐Ÿ’ป Tech: LangChain, Neo4j, OpenAI, Graph Neural Networks, Custom Algorithms

Business Impact: Prevents critical stockouts for high-velocity e-commerce by predicting disruptions 3-5 days in advance.


Multi-feature AI platform for adaptive learning and engagement

  • ๐Ÿค– AI chatbot with voice/text support (Gemini API + Speech-to-Text)
  • ๐ŸŽฎ Object recognition games using YOLO and TensorFlow
  • ๐Ÿ“š Adaptive content tailored for different age groups
  • ๐Ÿ“Š Engagement tracking with real-time analytics dashboard
  • ๐Ÿ’ป Tech: React, MongoDB, TensorFlow, YOLO, Gemini API, Speech Recognition

Research: Published LumiLearn paper on personalized learning using ML-based content adaptation and GenAI recommendations.


๐Ÿ† Key Achievements

Achievement Details
๐Ÿฅ‡ Best Outgoing Student 2025 College-wide recognition for academic excellence and leadership
๐Ÿ’ฐ TNSCST Grant Winner (โ‚น20K) Twice selected statewide for government funding on AI projects
๐Ÿ… NGI-TBI Hackathon Champion 1st place among 100 teams, โ‚น10K cash prize
๐ŸŽฏ NM-AU-TNCPL Top 20 Finalist Top 20 out of 49,000 teams and 478 colleges, awarded paid internship
๐Ÿ“œ Published Researcher LumiLearn: AI-powered adaptive learning systems

๐Ÿ“š Certifications & Training

AI/ML Specializations:

  • IBM Python for Data Science

Development & Cloud:

  • Python Full Stack Developer โ€“ IPCS Global
  • Google Cloud Essential Training โ€“ Pearson & LinkedIn
  • Salesforce Platform Developer โ€“ 13 Superbadges, 28 Badges

๐Ÿ“Š GitHub Analytics

GitHub Activity Graph

Top Languages GitHub Streak

Let's Connect!

I'm currently seeking AI/ML Engineer roles where I can build production-grade AI systems that create real impact.

Portfolio LinkedIn GitHub Email


๐Ÿ’ก What Sets Me Apart

"I don't just build AI modelsโ€”I architect production systems that solve real business problems. From reducing hallucinations by 82% to preventing crore-scale revenue losses, my work delivers measurable impact. If you're building AI products that matter, let's talk."

Open to: Full-time AI/ML roles | RAG/LLM projects | Generative AI consulting

Location: Coimbatore, Tamil Nadu, India
Phone: +91 6385225238


โญ If you find my work interesting, consider starring my repositories!

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Fresher | Software Engineer Full Stack Engineer | Python, Java, AI | Building intelligent cloud apps | Open to roles

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