About Me
I’m a Data Engineer at Zeta, focused on building scalable data systems, pipelines, and backend infrastructure that power financial products.
I work across data ingestion, transformation, and analytics layers, with a focus on reliability, performance, and clean system design. I prefer understanding systems end-to-end rather than working in isolation.
Outside of work, I spend time building side projects, automating workflows, and improving my depth in system design and distributed systems concepts.
Skills & Experience
Explore my profile in two modes
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Experience & Education
Education
B.Tech, Computer Science
PES University, Bangalore
2021 – 2025 · CGPA: 7.9
12th Grade
Sharada PU College, Mangalore
2019 – 2021 · 95%
10th Grade
Sharada Vidyalaya, Mangalore
2007 – 2019 · 91.4%
Experience
Zeta
Data Engineer (Full-time)
Aug 2025 – Present · Bengaluru
Zeta
Software Engineer Intern
Mar 2025 – Aug 2025 · 6 months
Momentum-E
SDE Intern
Nov 2024 – Feb 2025
- Built full-stack features for EV product using Next.js & Prisma
- Worked on scalable backend and API integrations
- Collaborated in agile development environment
CivicCraft Technologies
SDE Intern
Aug 2024 – Oct 2024 · Hybrid
- Built AI-powered multilingual chatbot for Ask Nandi
- Improved AWS infrastructure performance & scalability
- Designed backend systems for Oojus platform
CoDMAV PESU
Data Science Intern
Jun 2024 – Aug 2024
- Built ML models for agricultural yield prediction
- Used LSTM + ANN for forecasting and recommendations
- Integrated real-time weather data pipelines
LetsEndorse Mobile App
Mobile App Intern
Feb 2024 – Mar 2024
Research
NexGen Farming: AI-Driven Agriculture with GAN, Crop Selection, Predictive Irrigation, Fertilizer Planning, and Crop Monitoring
2nd International Conference on Computational Research and Data Analytics (ICCRDA-2025)
Duy Tan University, Da Nang, Vietnam
17th–18th January 2025
Co-authored and presented research on AI-driven agriculture solutions using GANs, predictive irrigation, fertilizer planning, and crop monitoring.
A Personalized Mental Health Chatbot with Emotion Detection and Content Suggestion
14th International Conference on Computer Science and Computational Mathematics (ICCSCM 2025)
Science and Knowledge Research Society, Saveetha Nagar, India
13th–14th March 2025
Co-authored and presented research on an AI-driven mental health chatbot integrating real-time facial emotion recognition with LLaMA-2, featuring secure session management, GDPR compliance, and empathetic human-like interactions.
Awards & Achievements
🥇 Winner — inGenius 12.0 Hackathon (Medicine supply chain system)
🥇 Winner — Hack for Humanity (Mental health app using LangChain & embeddings)
🏅 Top 10 — Kodikon 3.0 National Hackathon (AR + ML project)
🏅 Top 15 — Open Source Runner-up (Hacktoberfest contributions)