About Me
I am a Technical Lead and AI Engineer specializing in the architecture of high-impact AI solutions. My core expertise lies in Retrieval-Augmented Generation (RAG) systems, AI Agents, and scalable backend infrastructure. I thrive on bridging the gap between complex AI capabilities and robust, high-performance software engineering.
With a track record of boosting system performance by 200% and cutting down manual processes by 40%, I am passionate about building efficient, innovative systems and leading teams to deliver exceptional results in the tech landscape.
Core Competencies
AI & Machine Learning
Backend & DevOps
Full-Stack & Data
Career Trajectory
Technical Lead
JKTech, Bengaluru
June 2023 - Present
- Leading GenAI strategy and RAG system architecture.
- Achieved 40% reduction in manual review time and 50% cut in dev time.
- Drove a 200% increase in system performance through backend optimization.
Senior Software Engineer
EXL Service, Bengaluru
Nov 2020 - May 2023
- Engineered Solidity smart contracts and risk scoring systems.
- Reduced costs by 20% and doubled throughput for fleet insurance platform.
- Streamlined CI/CD pipelines, decreasing deployment time by 15%.
Senior Software Engineer
Photon Interactive & Ebrain
May 2016 - Oct 2020
- Implemented incident management, reducing critical incidents by 40%.
- Cut customer support tickets by 95% through mentorship and process improvement.
- Developed and deployed cost-saving Angular applications using Docker.
Key Projects
Private Asset Management Platform (Generative AI)
A sophisticated platform designed to streamline and automate data extraction, validation, and interaction with financial documents for private asset management.
- AI-Powered Data Extraction: Reduced manual data entry by over 40% by developing an intelligent module to extract data from financial documents using AWS Textract and LLMs.
- Regulatory Compliance Agent: Engineered an AI agent with LangGraph and LangChain to validate financial regulations against internal policies, using a memory-first architecture.
- Conversational AI Chat: Created a secure, interactive AI Chat for clients to query their documents, with robust guardrails for accuracy.
- Automated Evaluation Pipeline: Accelerated the development lifecycle by 50% by building a pipeline that eliminated manual re-testing after prompt modifications.
E-commerce Microservices Ecosystem
A suite of scalable, independent microservices designed to handle the entire e-commerce lifecycle, from order placement to financial reporting.
- Asynchronous Order Services: Designed asynchronous workflows using Node.js and RabbitMQ for high-volume order processing and recurring billing.
- Finance & Reporting Service: Developed the core finance service for customer accounts and financial reports, using Elasticsearch and Kibana for monitoring.
- Incident Management Integration: Integrated PagerDuty across all microservices, reducing system downtime and improving response times by 30%.
AI-Powered Risk Scoring System (Insurtech)
An innovative system for the fleet insurance sector to automate risk assessment and dynamically calculate premiums based on real-time data.
- Serverless Architecture: Spearheaded development with AWS Lambda, leading to a 20% reduction in operational costs and a 100% increase in data processing throughput.
- Machine Learning Integration: Integrated custom AI/ML models to analyze fleet data, identify risk patterns, and generate accurate risk scores.
Decentralized Reinsurance Platform (Blockchain)
A blockchain-based platform for the reinsurance industry, designed to enhance transparency, security, and efficiency in contractual agreements.
- Smart Contract Development: Engineered and deployed secure Solidity smart contracts to automate and enforce reinsurance agreements.
- Test-Driven Development (TDD): Applied TDD methodologies, resulting in a 25% reduction in development time and increased contract reliability.