Software Engineer & AI Developer

Uditanshu
Tomar

MS Computer Science '26 at CU Boulder. Building with AI and Cloud Native technologies.

01

Experience

Where I've worked and what I've built.

GoodieBag Co.

Jan 2026 – Apr 2026 /

Data Intern

  • Integrating AI into the GoodieBag chatbot to reduce HubSpot support ticket volume
  • Engineering human-sounding conversational responses for improved customer experience
  • Automating refund abuse detection logic to minimize fraudulent refund requests

T3 Ciders

NSF
Jan 2026 – Apr 2026 /

Fellow

  • Selected as a fellow in an NSF-funded cohort focused on cybersecurity and high-performance computing (HPC)

University of Colorado Boulder

Aug 2025 – Present / Boulder, CO

Industry Visit Coordinator (CSGPDC)

  • Coordinating industry visits and corporate engagement for the CS Graduate Professional Development Committee

Signadot

Y Combinator
Jun 2025 – Aug 2025 / San Mateo, CA

Software Developer Intern

  • 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

Sep 2023 – Apr 2024 / India

Co-Founder

  • Developed an AI-powered B2B sales platform featuring real-time multilingual transcription, tailored for European markets.

BharatPe

Mar 2023 – Aug 2023 / Gurugram, India

SDE 1

  • 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

Sep 2022 – Feb 2023 / Delhi, India

Software Developer

  • Developed RPA solution for various clients using UIPath, Zapier and AI automation.

Slash (Slashpay)

Apr 2021 – Feb 2023 / India

Founding Engineer

  • Built and scaled fintech platform to 50k+ MAUs in 2 years
  • Acquired by Finix Partners (led by Bhavik Koladiya, BharatPe Co-Founder)

Ford Motor Company

Jan 2022 – Aug 2022 / Chennai, India

Software Engineering Analyst

  • 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

Feb 2021 – Apr 2021 / India

IT & Business Analyst Intern

  • 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

Sep 2020 – Oct 2020 / India

Software Development Engineer Intern

  • 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
02

Education &
Achievements

2024 – 2026

MS Computer Science

University of Colorado Boulder

Database Systems, Computer Vision, Advanced Robotics, Neural Networks, Datacenter Computing, GenAI Software Engineering

TA – Intro to Python Programming
2018 – 2022

BTech Computer Science

SRM Institute of Science and Technology

Exchange: Asia University, TaiwanDigital Image Processing
Publication

IEEE CONIT 2021

Comparing SVM and Neural Networks' Performance in Face Detection

Read paper
Certification

Introduction to Augmented Reality and ARCore

Google ARCore & AR development fundamentals

Hackathon Wins

American Express CodeStreet'20

Winner – topped 6000+ teams

HackCU11 AMD AI Track

Runner-up – "ansh.ai" agentic journaling

HAB59 Hackathon

Finalist

Judging

CalHacks 2025 – World's Largest College Hackathon

MHacks – University of Michigan

03

Skills

Languages

JavaPythonJavaScriptTypeScriptGoC++SQL

Backend

Spring BootNode.jsFastAPIFlaskMicroservicesGraphQLgRPC

AI / ML

LLMsRAGLangChainPyTorchDeep LearningComputer VisionNLP

Databases

PostgreSQLMySQLMongoDBNeo4jRedisChromaDBSnowflake

Cloud & DevOps

DockerKubernetesHelmAWSGCPCI/CDSignadot

Messaging

Apache KafkaWebSocketsPub/SubgRPC Streaming

Automation

UiPath (RPA)Zapiern8nWebhooks

Specialized

ROSSparkHadoopGit
04

Projects

Selected work and side projects.

LLM-powered SAT Tutor

Knowledge Graph + RAG + Neo4j

Intelligent SAT tutoring app combining knowledge graphs with RAG for personalized, context-aware tutoring. Uses Neo4j for graph-based knowledge representation.

PythonNeo4jHugging FaceGPT-2LLaMA-2Groq APICUDARAG

Voice-Based Agentic AI

Real-time Audio + Avatar + RAG

Built "Ansh.ai", an intelligent conversational diary enabling users to speak thoughts and receive contextual, emotionally-aware AI avatar responses with conversational memory.

FlaskReactGoogle Cloud STTChromaDBHeyGenOllamaWebSocket

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.

PythonGit MiningGraph ModelingLouvainLLMJDT

Stream Processing Platform

Flink-inspired Distributed System

Distributed stream processing with JobManager/TaskManager architecture, exactly-once semantics, checkpointing, and RocksDB state backend with monitoring GUI.

PythonDistributed SystemsCheckpointsRocksDB

KNAB App

Hackathon Winner – 6000+ Teams

American Express CodeStreet'20 Winner. Customer return-behavior scoring tool to reduce abusive returns with ML notebooks, feature extraction SQL, and scoring prototype.

PythonSQLMLFeature EngineeringNotebooks

Multi-tenant SaaS Platform

Kubernetes + Microservices + Signadot

Microservices reference architecture with multi-tenancy, API gateway, tenant-aware routing, Kubernetes deployment, and Signadot sandbox testing.

Node.jsExpressKubernetesCI/CDSignadotDocker
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!
A

Arjun Iyer

CEO, Signadot (Y Combinator 2020)