Headline

SDE Intern @Mindtickle | Ex AIML intern @Varaha |Driven AI/ML Enthusiast | Building Intelligent Systems that Solve Real Problems

About

I build machine learning systems that work in the real world not just in notebooks. As a CS graduate (AI & ML specialisation) from IIITN, I've spent the past two years building and shipping production-grade ML systems across two AI startups from LLM-powered document validation pipelines that reduced manual verification effort by 50–60%, to Graph-RAG architectures, YOLO-based computer vision systems, and Transformer-based time-series forecasting models. 🏆 Top 1% at Amazon ML Challenge 2024 out of 10,000+ participants 📄 Published researcher at ICSIT-2025 (International Conference on Smart Innovations & Technologies) 🎓 B.Tech, Computer Science — AI & ML | IIITN (2022–2026) 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱: → LLM pipelines (RAG, fine-tuning, Gemini, OpenAI, LangChain) → Computer vision systems (YOLO, OpenCV, Faster R-CNN, ViT) → NLP solutions (FinBERT, Sentence-BERT, FastText, Hugging Face) → End-to-end ML pipelines with MLflow-tracked deployment 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸: Python · PyTorch · TensorFlow · Scikit-learn · LangChain · ChromaDB · Neo4j · Docker · FastAPI · Streamlit · MLflow · AW

Location

Bengaluru

AI stack

antigravity

codex

opencode

Work experience

SDE Intern at Mindtickle, Jan 2026 - Present · 8 mos

AI/ML Intern at Varaha, Aug 2025 - Jan 2026 · 6 mos, Bengaluru, Karnataka, India

Data Science Intern at Vidur Research, Dec 2024 - Jun 2025 · 7 mos

Placement Coordinator at Training and Placement Cell, IIIT Nagpur, Jan 2024 - Jul 2025 · 1 yr 7 mos, Nagpur, Maharashtra, India

Education

Bachelor of Technology - BTech, Indian institute of information technology Nagpur