Applied AI Engineer | RAG Systems | Computer Vision | ML Systems

AI & Data Science Engineering student at SGBIT, building end-to-end AI systems with a focus on:

• Retrieval-Augmented Generation (RAG)
• Computer Vision
• Production-oriented ML pipelines

Currently developing a modular RAG system from scratch with:

• FAISS-based semantic retrieval
• Local + pluggable LLM backend (Ollama / OpenAI)
• Context-grounded answer generation

• Improving retrieval quality using document chunking
• Optimizing context construction for LLM responses
• Preparing the system for API deployment (FastAPI)

Python Developer Intern — Infosys Springboard

• Developed structured Python solutions for real-world problem statements
• Focused on code quality, debugging, and modular design

Machine Learning Intern — Cognifyz Technologies

• Built supervised learning models on real datasets
• Implemented preprocessing pipelines and evaluated model performance

• Designed a modular Retrieval-Augmented Generation pipeline from scratch
• Implemented semantic embeddings + FAISS vector search
• Integrated local LLM (Ollama) with pluggable backend architecture
• Built full pipeline: query → retrieval → context → grounded answer
• Built without high-level frameworks (e.g., LangChain) to understand system internals

Key Focus: reducing hallucination using external knowledge grounding

• Built a multimodal system combining image understanding and NLP
• Extracts insights from disaster-related imagery
• Explored real-world applications of image-text reasoning

• Real-time computer vision system using OpenCV and MediaPipe
• Hand gesture tracking mapped to system-level audio control

Languages Python, SQL

AI / ML SentenceTransformers, scikit-learn, TensorFlow, PyTorch

Systems & Tools FAISS, FastAPI, OpenCV, Flask

Data Pandas, NumPy, Matplotlib

• 4th Place — INNOVATEx 4.0 (International Tech Fest, Presidency University, Bangalore) 24-hour hackathon focused on AI-based solutions

• Active Hackathon Participant — Hack2Skill Platform

  • Participated in multiple AI-focused hackathons
  • Proposed and developed solutions for real-world problem statements
  • Worked in fast-paced, team-based environments

• Solution Challenge Badge — Build with AI (Hack2Skill, India)

• IBM Skill Badges in AI & Data Science

• 💼 LinkedIn

I’m the go-to person for debugging… and I actually enjoy it 😄