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🧠 About Me

AI Developer

I am a Junior Full Stack & AI Engineer at AAVIL Inc, specializing in production ready intelligent systems. My work spans multi-agent LLM orchestration, RAG architectures, computer vision pipelines, and full-stack web applications β€” built with a focus on real-world impact, clean architecture, and measurable outcomes.

  • πŸŽ“ B.Tech CSE (AIML) Β· Woxsen University Β· CGPA: 2.90 / 4.0
  • πŸ“… Batch: 2022 - 2026
  • πŸ€– Core focus: Generative AI, LLMs, Deep Learning, Computer Vision
  • πŸ”­ Building with LangGraph, LLaMA 3.3 70B, FastAPI, ChromaDB, PyTorch
  • πŸ’‘ Believer in explainable AI, clean code, and production-first engineering
  • 🌍 Based in India Β· Junior Full Stack & AI Engineer @ AAVIL Inc Β· Open to collaborations


πŸ› οΈ Tech Stack

πŸ–₯️ Programming Languages

Python Java JavaScript TypeScript HTML5 CSS3 SQL

πŸ€– AI / ML / Deep Learning

PyTorch TensorFlow Keras Scikit-learn OpenCV LangChain Hugging Face NumPy Pandas Matplotlib

🌐 Frameworks & Web

FastAPI Flask React Next.js Node.js Streamlit Tailwind CSS

πŸ—„οΈ Databases & Vector Stores

MongoDB MySQL PostgreSQL ChromaDB Pinecone Redis

βš™οΈ Tools & Platforms

Git GitHub Docker VS Code Jupyter Google Colab Linux


πŸ’Ό Work Experience

🏒 Zidio Development

Web Developer Intern Β· Aug 2025 – Nov 2025 Β· Remote

  • Built full-stack MERN applications including an Excel Analytics Platform with 2D/3D chart generation and a Blogging Platform with JWT authentication and MongoDB integration
  • Implemented responsive interfaces using React.js, Tailwind CSS, and Chart.js following Agile methodologies

Stack: React.js Node.js MongoDB JWT REST APIs Tailwind CSS

🏒 Infotact Solutions

Data Associate L1 Intern Β· Apr 2025 – Jul 2025 Β· Remote

  • Developed and evaluated ML pipelines for AI-driven task management using Naive Bayes, SVM, Random Forest, and XGBoost β€” improving task classification precision and recall
  • Built a deep learning image segmentation solution using CNN and U-Net on satellite imagery to identify disaster-affected regions

Stack: Python Scikit-learn XGBoost CNN U-Net PyTorch


πŸš€ Featured Projects

A 4-agent LangGraph pipeline that automates the complete ITIL incident lifecycle β€” from raw incident description to triage, resolution synthesis, RCA document, and CAB RFC β€” in under 30 seconds. Powered by LLaMA 3.3 70B with BGE-Base semantic search over a 100-incident knowledge base.

Tech: LangGraph LLaMA 3.3 70B BGE Embeddings ChromaDB FastAPI React Groq

LangGraph Python React

Production-deployed AI-powered coding education platform supporting 6 Indian languages (Telugu, Tamil, Hindi, Kannada, Marathi, English). Uses Gemini 2.5 Flash as primary LLM with Groq LLaMA 3.3 70B as automatic zero-downtime fallback. Integrates a 22-language online compiler (JDoodle API) and CI/CD via GitHub Actions.

Tech: FastAPI Gemini 2.5 Flash Groq LLaMA 3.3 70B Python GitHub Actions

FastAPI Python

Full-stack platform detecting AI-generated text, images, and videos using a PyTorch ensemble of GPT-2, DistilBERT, and ResNet50 β€” achieving 85–92% detection accuracy. Scalable microservices architecture with Docker/Kubernetes, Redis caching, processing 50+ requests/second at 300ms latency.

Tech: React TypeScript FastAPI PyTorch Docker Kubernetes Redis GitHub Actions

PyTorch Docker

End-to-end Computer Vision pipeline converting printed and handwritten table images into structured, editable spreadsheet data. Achieves 88% cell-level OCR accuracy on 200+ diverse table images with 5-second end-to-end processing time. Includes Flask API and interactive web UI with multi-format export (CSV/Excel/JSON).

Tech: Python OpenCV Deep Learning TableNet Flask HTML/CSS/JS

OpenCV Flask


πŸ“Š GitHub Stats

GitHub Streak


πŸ† Achievements & Highlights

πŸŽ“ Academic

  • B.Tech in Computer Science Engineering (AI/ML Specialization) Β· Woxsen University
  • Specialized coursework in Deep Learning, NLP, Computer Vision, Data Structures & Algorithms, and Software Engineering

πŸ€– AI / ML Accomplishments

  • Designed a 4-agent LangGraph system that automates an 8-hour enterprise ITIL workflow to under 30 seconds
  • Deployed a production multilingual AI tutor serving 6 Indian languages with zero-downtime LLM failover
  • Built an ensemble detection platform (GPT-2 + DistilBERT + ResNet50) achieving 85–92% multi-modal accuracy
  • Achieved 88% cell-level OCR accuracy on 200+ diverse table images using a custom deep learning pipeline

πŸ’Ό Professional Experience

  • Developed full-stack MERN applications at Zidio Development with CI/CD, JWT auth, and MongoDB
  • Built ML classification pipelines (Naive Bayes, SVM, XGBoost) and CNN/U-Net segmentation at Infotact Solutions

πŸ… Certifications

  • πŸͺŸ Career Essentials in Generative AI Β· Microsoft Β· 2025
  • πŸ” Google Analytics Certification Β· Google Β· 2025
  • πŸ“š AI Essentials: Introduction to Artificial Intelligence Β· Udemy Β· 2024
  • πŸ’» Introduction to Deep Learning & Neural Networks with Keras Β· IBM Β· 2024

🌱 Currently Exploring

LangGraph Quantization MLOps Multimodal AI


πŸ“¬ Let's Connect

Currently working as a Junior Full Stack & AI Engineer @ AAVIL Inc β€” open to interesting collaborations, open-source contributions, and research opportunities.


LinkedIn Gmail GitHub


"The best way to predict the future is to build it β€” one model at a time."


🐍 Contribution Graph

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  1. ai-content-detection ai-content-detection Public

    AI Content Detection Platform - Probabilistic detection of AI generated text, images, and videos.

    Python

  2. image-to-spreadsheet-ocr image-to-spreadsheet-ocr Public

    End-to-end image-to-spreadsheet conversion using OCR, table detection, and deep learning. Features preprocessing, multiple DL models, Flask API, and web UI.

  3. code-guru-india code-guru-india Public

    AI-powered multilingual online coding tutor for Indian students β€” Telugu, Tamil, Hindi, Kannada, Marathi & English

    HTML

  4. second-brain-frontend-engineering second-brain-frontend-engineering Public

    TypeScript

  5. service-pilot service-pilot Public

    Multi-Agent ITIL Process Automation β€” LangGraph, BGE Semantic Search, LLaMA 3.3 70B, ChromaDB, FastAPI, React

    Python

  6. enterprise-jarvis-rag-ai enterprise-jarvis-rag-ai Public

    Enterprise AI assistant using self-hosted LLaMA, Pinecone vector DB, and RAG architecture.

    Python