
I am passionate about bridging the gap between theoretical research and scalable, human-centered product design. I thrive in fast-paced environments where I can build complex autonomous systems from scratch.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Completed rigorous machine learning training through specialized programs at Amazon and Microsoft partner organizations.
Engineers scalable autonomous agents and complex RAG workflows using advanced frameworks like LangGraph and CrewAI.
Provides expert technical audits for generative AI architectures and mentorship on foundational machine learning principles.
🚀 Career trajectory
Academic Foundation
Established technical rigor at IIT Madras through advanced coursework in algorithms and AI.
✦ IIT Madras
✦ Mathematics
Applied Research Exposure
Gained early industry experience through specialized ML programs at Amazon and Microsoft partnerships.
✦ ML Research
✦ Applied Internship
Product Engineering Leadership
Current role at Key focused on deploying scalable Generative AI solutions and autonomous agents.
✦ Generative AI
✦ Engineering
💪🏻 Superpowers
Architecting Autonomous Intelligence
Engineering resilient agentic ecosystems and complex RAG pipelines.
✦ Design multi-agent workflows using LangGraph and CrewAI frameworks.
✦ Implement robust context management for production-grade LLM applications.
✦ Bridge the gap between experimental research and scalable architecture.
Analytical Model Development
Applying rigorous mathematical principles to deep learning challenges.
✦ Execute end-to-end model training from preprocessing to fine-tuning.
✦ Utilize advanced statistical analysis for predictive modeling accuracy.
✦ Optimize neural network performance using PyTorch and TensorFlow.
Technical Product Synthesis
Translating complex AI capabilities into tangible business solutions.
✦ Synthesize user needs into clear technical requirement specifications.
✦ Align machine learning outputs with specific product-first goals.
✦ Drive automation through intelligent workflows and data-driven insights.
I'm excited about
✦ Exploring cutting-edge research in multi-agent collaboration and autonomous system evolution.
✦ Connecting with experts to exchange knowledge on emerging LLM and RAG patterns.
✦ Identifying collaborative opportunities to scale AI solutions within global enterprise environments.
I can help with
✦ Providing technical audits for RAG workflows and agentic system architectures.
✦ Mentoring early-career developers on math foundations and applied machine learning.
✦ Advising on the integration of generative AI features into existing product stacks.
I would love your help on
✦ Navigating the transition from applied engineering to strategic AI architecture leadership.
✦ Gaining insights into effective technical documentation for complex agent communication protocols.
✦ Discovering best practices for managing distributed ML teams in fast-paced startup environments.