Professional Experience
Signadot (Y Combinator)
Software Developer Intern
Jun 2025 - Aug 2025
San Mateo, CA
- Collaborated on improving Kubernetes-native infrastructure for local testing using Signadot's sandboxing platform
- Identified friction points in CLI, Helm and Quickstart installation flow; contributed documentation improvements
- Gained exposure to scalable microservices patterns and Kubernetes deployment principles
Stealth Startup
Software Developer
Sep 2023 - Apr 2024
India
- Developed an AI-powered B2B sales platform featuring real-time multilingual transcription, tailored for European markets.
BharatPe
SDE 1
Mar 2023 - Aug 2023
Gurugram, India
- Developed business logic to determine loan limits based on credit history, leading to a 15% reduction in Non-Performing Assets (NPA)
- Integrated Synapsys product workflow software, reducing implementation time by 20%
PRJ Digital
Software Developer
Sep 2022 - Feb 2023
Delhi, India
- Developed RPA solution for various clients using UIPath, Zapier and AI automation.
Ford Motor Company
Software Engineering Analyst
Jan 2022 - Aug 2022
Chennai, India
- Optimized path estimation for Ford's Office Ride app using Spring Boot, increasing API response time by 43%
- Collaborated with 2 cross-functional teams to improve scalability and enhanced system performance by 8%
Tata Power-DDL
IT & Business Analyst Intern
Feb 2021 - Apr 2021
India
- Optimized power loss calculations using data from 15,000 smart electricity meters (5.8% of total grid)
- Improved accuracy in energy loss detection across North Delhi distribution network
IBM
Software Development Engineer Intern
Sep 2020 - Oct 2020
India
- Designed healthcare-accountability system prototype, integrating EMR data via Java/Spring Boot APIs
- Delivered KPI dashboards and security-compliant data flows; earned commendation for on-time delivery
Education & Achievements
Master of Science in Computer Science
University of Colorado Boulder | 2024 - 2026
Database Management Systems, Computer Vision, Advanced Robotics, Neural Network and Deep Learning, Datacenter Scale Computing, GenAI-powered Software Engineering
Teaching Assistant - Programming for LinguistsBachelor of Technology in Computer Science
SRM Institute of Science and Technology | 2018 - 2022
Exchange: Asia University, TaiwanIEEE CONIT 2021 Publication
Comparing SVM and Neural Networks' Performance in Face Detection
Co-authored research comparing RBF-SVM vs neural networks for face detection using HOG features and cross-validation.
DOI: 10.1109/CONIT51480.2021.9498383 →🏆 Hackathon Achievements
American Express CodeStreet'20 - Winner
Topped 6000+ teams with "KNAB App" - customer return-behavior scoring
HackCU11 AMD AI Track - Runner-up
Built "ansh.ai" - agentic journaling AI with LLaMA 3.2B
⚖️ Hackathon Judging
Technical Arsenal
Languages
Backend
AI / ML
Databases
Cloud & DevOps
Messaging
Automation
Specialized
Featured Projects
LLM-powered SAT Tutor
Knowledge Graph • RAG • Neo4j
Developed an intelligent SAT tutoring application that combines knowledge graphs with retrieval-augmented generation (RAG) to provide personalized, context-aware tutoring. The system uses Neo4j for graph-based knowledge representation.
Voice-Based Agentic AI
Real-time Audio • Avatar • RAG
Built "Ansh.ai", an intelligent conversational diary that enables users to speak their thoughts and receive contextual, emotionally-aware responses from an AI avatar. Processes real-time audio input and maintains conversational memory.
GenEC - Extract-Class Refactoring
Static Analysis • LLM • Clustering
Hybrid Extract Class refactoring pipeline combining static dependency analysis, evolutionary coupling from Git history, Louvain clustering, LLM suggestions, and multi-layer verification (syntactic/semantic/behavioral).
Stream Processing Platform
Flink-inspired • Distributed • Fault Tolerant
Distributed stream processing platform with JobManager/TaskManager architecture, exactly-once semantics, checkpointing, and RocksDB state backend. Includes monitoring GUI for observability.
KNAB App
🏆 HACKATHON WINNERReturns Risk Scoring • ML • 6000+ Teams
American Express CodeStreet'20 Winner - Customer return-behavior scoring tool to reduce abusive returns. Includes ML notebooks, feature extraction SQL, and scoring prototype.
Multi-tenant SaaS Platform
Kubernetes • Microservices • Signadot
Microservices reference architecture with multi-tenancy, API gateway, tenant-aware routing, Kubernetes deployment, and Signadot sandbox testing workflows for ephemeral environments.
If you are looking for an engineer who thrives on technical complexity, hire Udit! During his time at Signadot, he proved himself to be a fast learner and a brilliant communicator. He tackled our Kubernetes-native testing infrastructure with ease, even writing insightful blog posts that distilled complex concepts into clear, actionable content. Udit is a true force multiplier - he doesn't just do great work; he helps the whole team get better through collaboration and clear documentation. He'll be a massive asset to any engineering organization!
Arjun Iyer
CEO, Signadot (Y Combinator 2020)