Headline

AI Engineer & ML Specialist | Real-time Data Pipelines | Autonomous Agents | Open to full-time opportunities

About

🤖 AI Engineer & Machine Learning Specialist | Building Intelligent, Scalable Systems I'm passionate about solving complex problems at the intersection of AI, data engineering, and real-time systems. Currently pursuing my B.E. in AI & Machine Learning (CGPA: 8.60/10) at RV College of Engineering, with hands-on experience building production-grade AI systems. 💡 WHAT I DO: - Architect & deploy autonomous multi-agent AI platforms (LangChain, LLMs, RAG) - Engineer real-time data pipelines & fraud detection systems (Kafka, Spark Streaming) - Build & optimize ML models for production (PyTorch, XGBoost, Graph Neural Networks) - Develop scalable backend systems with FastAPI, Flask, and cloud infrastructure (AWS) 🏆 RECENT HIGHLIGHTS: ✓ Built LifeOS-AI: Autonomous multi-agent platform orchestrating 5 enterprise APIs for 1,000+ users with real-time personalized workflows ✓ Engineered real-time AML platform: 10,000+ tx/sec fraud detection with 35%+ improvement using hybrid ANN-GNN models ✓ Deployed automated underwriting engine: 91.2% accuracy with XGBoost on distributed Hadoop/Spark pipeline ✓ Recognized as "Best Student Intern" at BOSTON-RVCE Centre of Excellence 🛠️ TECHNICAL TOOLKIT: Languages: Python, C++, TypeScript | ML/AI: PyTorch, Transformers, LLMs, RAG, GNNs Big Data: Kafka, Spark, Hadoop | Databases: MongoDB, Neo4j, FAISS, Vector DBs Cloud: AWS (EMR, EC2, CloudWatch) | Frameworks: FastAPI, Flask, Streamlit, LangChain 📖 I'm actively learning advanced LLM techniques and always exploring how to scale AI systems that create real business impact. 🎯 OPEN TO: Full-time AI Engineer, ML Engineer, Data Scientist, or AI-integrated Software Engineer roles (Bangalore, Remote, or Relocation) 💬 Let's connect if you're building intelligent systems at scale!

Location

Bengaluru

Work experience

AI Research and Business Solutions at Boston-RVCE Centre of Excellence, Aug 2025 - Dec 2025 · 5 mos, Bengaluru, - Architected LifeOS-AI: Autonomous platform with 3 specialized agents coordinating across 5 enterprise APIs (budget, productivity, subscriptions) for 1,000+ concurrent users - Engineered advanced RAG pipelines: 630K+ document knowledge base with <200ms retrieval using FAISS indexing while maintaining strict data isolation - Designed event-driven, stateful task orchestration: Integrated behavioral signals with dynamic workflow routing across heterogeneous data sources

Member at National Service Scheme, Jan 2023 - Dec 2023 · 1 yr, India

Education

Bachelor of Engineering - BE, Artificial intelligence and machine learning, RV College of Engineering

High School Diploma, Secondary Education and Teaching, Expert Group of Institutions