Headline

AI Products intern at 5Paisa | ex-AI intern @ Apollo Tyres Ltd. | SIH’24 winner

About

I am a Computer Science student who likes difficult problems and building things that actually work. I’ve won the Smart India Hackathon, worked on AI and digital twin systems in manufacturing at Apollo Tyres, built AI-powered financial intelligence and agentic systems at 5Paisa, and developed AI-assisted developer tooling at Shinrai Associates. My interests sit at the intersection of software engineering, AI, data systems, and product thinking. I enjoy going deep into unfamiliar domains, understanding the systems underneath them, and then building solutions around what I find. I've worked with everything from large-scale manufacturing data and complex enterprise schemas to LLM orchestration, tool-calling systems, backend infrastructure, and machine learning applications. I particularly enjoy problems where the obvious solution isn't necessarily the right one. Outside of work, I spend my time exploring computer science, artificial intelligence and physics. Currently pursuing a B.E. in Computer Science at Dayananda Sagar College of Engineering.

Location

Greater Bengaluru Area

AI stack

anthropic apis

antigravity

claude code

claude

codex

hugging face

Work experience

AI Product Manager at 5paisa, Jun 2026 - Present · 5 mos, Bengaluru, • Building an agentic AI financial assistant using ReAct-based reasoning and tool orchestration to enable contextual, multi-step financial analysis. • Designed the agent orchestration architecture, guardrails, and extensible tool-calling framework enabling LLMs to invoke specialized financial tools. • Developed AI-powered stock insights by identifying relevant financial signals and defining domain-specific prioritization and interpretation logic to generate concise, human-readable investment insights. • Integrated a locally hosted news classification model into the financial intelligence pipeline for domain-specific financial news classification without relying on external inference APIs.

AI engineer Intern at Apollo Tyres Ltd, Feb 2026 - May 2026 · 4 mos, Hyderabad, • Worked on enterprise data engineering and analytics systems for tyre manufacturing, transforming large-scale production data into actionable operational insights. • Designed a MongoDB-based data serving layer on EC2 with batch pipelines ingesting production data from Amazon Redshift and precomputing yield metrics, reducing dashboard latency from 5–10 minutes to near real-time. • Engineered cross-schema data processing across 30+ manufacturing schemas (10–300+ columns) without consistent unique keys, using intermediate mappings and domain knowledge to accurately compute production metrics. • Reverse-engineered complex Excel analytics workflows with embedded SQL and rebuilt them as Flask + React applications, improving accessibility and eliminating redundant processing. • Contributed to Digital Twin development by building and optimizing 3D factory visualizations from CAD layouts using Three.js/WebGL, achieving approximately 10× asset size reduction for efficient browser rendering.

SWE Intern at Shinrai associates, Oct 2025 - Feb 2026 · 4 mo, Remote, • Developed an AI-assisted code review platform using a dual-stage GPT pipeline for contextual code analysis and automated feedback generation. • Built FastAPI backend services and optimized MongoDB aggregation pipelines to support concurrent multi-user workflows and low-latency data processing. • Developed developer-facing features for code editing and progress tracking, contributing to the end-to-end design and implementation of an AI-powered developer tool. • Worked across LLM integration, backend system design, and developer tooling to apply AI to software engineering workflows.

Education

Bachelor of Engineering, Computational Science, Dayananda Sagar College of Engineering, BANGALORE

Basava International School