I’m an AI Engineer focused on building agentic AI systems that combine large language models, planning, and tool execution to solve real-world problems. My work spans multi-agent architectures, LLM-powered copilots, and production-grade AI systems, with strong foundations in distributed systems, reliability, and performance.
I’ve built and deployed autonomous agents for diagnostics, analytics, and multimodal reasoning across cloud and on-device environments, and I enjoy working at the intersection of AI research, systems engineering, and product impact.
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🤖 Agentic AI & Copilots
Multi-agent systems, planning and execution loops, tool-using LLMs, LangGraph, MCP -
🧩 LLMs & Multimodal Models
Large Language Models, Vision-Language Models, RAG, context engineering, evaluation -
⚙️ Production AI Systems
Scalable inference, async orchestration, observability, performance optimization -
☁️ Distributed & Cloud Systems
Docker, Kubernetes, AWS, fault-tolerant services, CI/CD
Privacy-first, low-latency autonomous agent with planning, memory, and tool execution
- Multimodal reasoning and contextual planning
- MCP-based safe tool invocation
- Sub-300ms end-to-end latency
🔗 GitHub
High-throughput agentic RAG system for query decomposition and retrieval
- Multi-step reasoning and semantic search
- Async execution under high concurrency
- 10K+ daily requests
🔗 GitHub
Autonomous content pipelines with observability and rollback
- Agent-driven task planning and execution
- AWS Lambda + LLM orchestration
🔗 GitHub
Languages
Python · C++ · Bash
AI / ML
PyTorch · TensorFlow · Hugging Face · LLMs · Vision-Language Models · RAG
Agentic Systems
LangGraph · MCP · Tool-Calling · Multi-Agent Architectures · Planning & Execution
Systems & Cloud
Docker · Kubernetes · AWS · Async Systems · Distributed Services
Infra & Reliability
CI/CD · Monitoring · Logging · Tracing · Performance Optimization
FrontEnd Streamlit, REACT
- 🎓 MS in Computer Science, UC Riverside (GPA: 3.9+)
- 🎓 BTech in Computer Science, PES University
- 🧪 Research in autonomous agents and multimodal AI
- 🏭 Industry experience building production AI systems at scale
