About
Software Engineer with 4+ years at UBS designing AI-driven automation, full-stack systems, and reliability tooling. Built an LLM-powered automation platform that cut setup time 95% across 20 engineering teams. Currently pursuing an MS in Information Management at the University of Washington (3.98 GPA) with specializations in Artificial Intelligence and Product Management.
Work Experience
UBS Investment Bank
• Launched RAG chatbot using Azure AI Search indexing 5 years of team emails (~50K docs), delivering automated incident diagnosis and step-by-step resolutions for production issues
• Engineered config-driven monitoring dashboard with dynamic UI generation, aggregating server health and ticket data for 30+ teams; reduced MTTD by 60%
• Mentored junior engineers through transition into high-stakes production environments; authored onboarding docs adopted by 3+ teams
• Partnered with product and ops stakeholders to scope, design, and ship AI tooling within regulatory, cost, and latency constraints
UBS Investment Bank
• Built shift handover platform tracking deliverables and workload across regional shifts, cutting handoff time by 40% with manager dashboards
• Created observability dashboards in Splunk and AppDynamics monitoring 200+ microservices, reducing incident detection time by 60% with proactive alerts
• Managed incident response for 5 Tier-1 collateral applications processing $10B+ in daily transactions, maintaining 99.8% uptime through root-cause analysis and post-incident reviews
• Earned Engineering Excellence Award (Aug 2022) and Quarterly Star Award (Apr 2023) for contributions to automation, observability, and operational excellence
UBS Group Functions
India Young Foundation
NITI Aayog
Education
University of Washington
• Specializations: Artificial Intelligence, Product Management
• Coursework: Implementing & Managing GenAI Systems, Building & Applying LLMs, Principles of Product & Project Management, Product Strategy, Information Policy and Ethics
• Reader/Grader, LIS 589 Academic Librarianship (UW iSchool, Winter 2026), LIS 510 Information Behavior (UW iSchool, Spring 2026)
Manipal Institute of Technology
• Minor in Big Data, Other courses: Machine Learning, Distributed Systems, Data Analytics, Data Warehousing, Pattern Recognition, Internet of Things
• Technical Head - The Astronomy Club: Led the Data Science Project, the Optical Telescope Project, and the Star Tracker Project
Montfort School
• Subjects: Physics, Chemistry, Mathematics, Computer Science, English
Skills
Check out my projects
From real-time machine learning apps and self-hosted cloud solutions to mobile tools and innovative web platforms, my projects reflect a passion for solving real-world problems with technology. Here are some highlights that showcase my experience in full-stack development, automation, and creative engineering.
DarkGuard / Trusten
Browser extension that scans any website for dark patterns, grades it A–F on honesty, and maps every finding to the specific laws it may violate. Built with a hybrid rule-based + multi-model AI detection engine covering 24 manipulation categories across 10 analysis modules, with a false positive rate below 3%. Includes a deep scan engine that walks multi-step user flows autonomously, capturing screenshot evidence at each step. 118 automated tests, regulatory mapping to 14 international frameworks (FTC Act, EU DSA, GDPR).
GenASL: Generative ASL Pipeline
End-to-end AI pipeline generating Picture-in-Picture American Sign Language overlays for YouTube videos. Translates English transcripts to syntactically correct ASL gloss sequences using LLMs (not word-for-word — ASL has its own grammar). Clip-chaining system maps gloss to 2,000+ video assets via FAISS + sentence-transformer embeddings, compositing final outputs with FFmpeg.
Fantasy Cricket
Full-stack fantasy cricket platform serving 1,000+ users with real-time leaderboards, OAuth2, and Supabase Row-Level Security. Features context-aware AI match summaries using Gemini API with Google Search grounding, adapting to pre/live/post-match states. Currently supports IPL, with extensibility for other leagues.
NBT-Gen: Never-Before-Thought Generator
FastAPI pipeline that inverts assumptions about a topic and generates counterintuitive ideas via Gemini. Features automated quality scoring with Mistral and a NES.css retro UI with a user-tunable 'wildness' slider for model temperature.
Global Personal Cloud
Self-hosted private cloud with ZFS-backed storage, automated remote backups, and VM hosting. Cross-continent NGINX architecture with read/write splitting: reads served from the geographically closer node (Seattle), writes routed to Delhi as the consistency primary, with ~200ms cross-Pacific ZFS replication.
Mask Detector
Real-time mask detection for edge devices (Raspberry Pi), using Haar Cascade for fast face detection with low latency.
Hacker NewsPaper
Hacker News' Ask HN column in a Newspaper-style UI using ReactJS, NodeJS, and Hacker News API.
Sky Pixel detection in outdoor imagery
Developed a neural network model using PSPNet and TensorFlow to segment sky pixels in images for enhanced outdoor image analysis.
Spielen Android app – Find & Play Sports Nearby
Spielen is an Android app that helps users find, host, and join local sports events with features like map-based location, event reminders, and direct contact with hosts.
Predicting Star/Galaxy/Quasar using NN
Developed a neural network model in TensorFlow and Keras for classifying a given set of parameters into stars, galaxies, and quasars, with a Tkinter GUI
Snake game on terminal
A simple Snake game implemented in C++ using 'time' and 'windows' libraries
Lifelong Learning & Upskilling
I am passionate about continuous learning and have completed several online courses to expand my technical expertise and stay current in the fast-evolving tech landscape. Here are some of the certifications and courses that have helped me grow as an engineer.
Recognized for Excellence
Throughout my career, I’ve built a reputation for engineering excellence, operational resilience, and delivering measurable impact-particularly at UBS. My work is driven by automation, collaboration, and a relentless focus on results. Below are some key milestones.