I'm an AI/ML Engineer, Data Scientist, and Software Engineer finishing my B.E. in Artificial Intelligence and Data Science at CBIT Hyderabad. I design and ship production-style systems — models that explain their own decisions, pipelines that hold up at scale, and APIs built the way a real engineering team would build them — using open-source stacks with zero paid dependencies.

• 🔬 Explainable AI systems (SHAP, LIME, Grad-CAM) for high-stakes, regulated domains
• 🌊 Graph-based fraud detection at streaming scale (Kafka + PySpark + GNNs)
• 🧠 Full-stack ML — from model training to FastAPI microservices and deployable APIs
• 🏆 Best Use Case Award — SRM-AP Quantum Hackathon (Post-Quantum Cryptography)

• 🕸️ Engineered a real-time fraud detection pipeline over streaming transaction graphs — Kafka + PySpark + heterogeneous GNNs, fully explained with SHAP
• 📑 Built a hybrid-retrieval RAG assistant (BM25 + dense embeddings + cross-encoder reranking) for financial compliance Q&A
• 🩺 Shipped a multimodal diagnostic assistant combining ResNet-50 + Grad-CAM visual reasoning with a BioBERT-powered RAG layer
• 🧪 Found and fixed a subtle data-leakage bug in a clinical trial model, then tuned it for real-world reliability
• 🏆 Directed a national-scale hackathon as Events Head, CBIT Student Technical Association
• 🌍 Every project shipped fully open-source, zero paid dependencies — data pipeline to deployed demo

• AWS Certified CloudOps Engineer – Associate
• IBM Enterprise Data Science
• Oracle AI Foundations Associate
• Business Analytics — Skill India (NSDC)

I'm the kind of engineer who reads the SHAP values before celebrating the accuracy score — I want to know why a model decided what it decided, not just that it got there. That curiosity is what pulls me toward explainable and responsible AI, and it's why I like sitting close to the whole problem: framing it, training the model, then building the engineering around it that makes it trustworthy enough to actually use. I'm energized by systems where the stakes are real — fraud, healthcare, compliance — the kind of domains where getting it right actually matters. Long-term, that same curiosity is pointed at a PhD, and eventually, building something of my own in deep-tech.