
I am passionate about building AI that works in the real world. I thrive in complex technical spaces where I can architect multi-agent systems and RAG workflows that turn messy data into reliable insights.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Built a strong engineering foundation through a multi-year tenure at Bank of America.
Currently specializes in designing production-grade multi-agent systems and RAG workflows at SIRO.
Can help others by providing technical guidance on scaling AI models in regulated industry sectors.
🚀 Career trajectory
Foundation in Finance
Started as an intern and progressed to Software Engineer at Bank of America.
✦ Software Engineering
✦ Enterprise Systems
AI Specialization
Pursued advanced studies in AI and ML at Vellore Institute of Technology.
✦ Deep Learning
✦ Academic Excellence
AI Engineering Leadership
Currently driving production-grade multi-agent systems at SIRO Clinpharm.
✦ Generative AI
✦ RAG Systems
💪🏻 Superpowers
Architecting Intelligent Systems
Engineering robust, scalable AI architectures
✦ Develops production-ready multi-agent systems for high-stakes domains.
✦ Designs advanced RAG workflows to maximize data retrieval accuracy.
✦ Optimizes machine learning pipelines for operational efficiency.
Clinical AI Innovation
Applying ML to complex healthcare workflows
✦ Translates clinical research needs into automated algorithmic solutions.
✦ Implements machine learning models that adhere to rigorous industry standards.
✦ Bridges the technical divide between legacy software and AI-driven processes.
Adaptable Technical Strategy
Scaling skills across diverse high-performance sectors
✦ Successfully navigated the transition from financial tech to clinical research.
✦ Leverages a strong academic background in M.Tech AI to solve technical challenges.
✦ Translates complex requirements into reliable, maintainable codebases.
I'm excited about
✦ Exploring cutting-edge research in multi-agent orchestration.
✦ Connecting with peers building real-world AI applications.
✦ Seeking opportunities to influence next-generation clinical AI standards.
I can help with
✦ Reviewing RAG pipeline architectures for performance optimization.
✦ Sharing technical insights on deploying agents in regulated environments.
✦ Mentoring early-career engineers on transitioning into AI-heavy roles.
I would love your help on
✦ Learning best practices for scaling agentic workflows in production.
✦ Navigating challenges in cross-domain AI implementation strategies.
✦ Finding collaborators interested in the intersection of health and AI.