RESUME

Yashodhan Jaltare

Software, Data & AI Engineer

Experience

TheoremLabs.io

United States

Programming Analyst

Jun 2026 — Present

  • Own an HR technology platform supporting workflows tied to nearly $50M in business revenue across hiring, timekeeping, payroll, billing, and invoicing.
  • Turn complex HR and payroll processes into standardized digital workflows, owning delivery from requirements and architecture through development and production.
  • Build and operate the platform on Azure Container Apps, SQL Server, and GitHub CI/CD, including integrations with UKG and enterprise systems.
  • Replaced fragmented manual processes with automated workflows that improved data integrity, security, and operational scale across payroll and invoicing.
  • Develop Azure Document Intelligence workflows to extract structured data from business documents and automate downstream processing.
  • Use automated testing and Codex-assisted development to shorten implementation and debugging cycles while maintaining production quality.

AI Intern (Co-op)

Jan 2026 — May 2026

  • Owned client-facing digitization work from workflow discovery through architecture, implementation, and production delivery.
  • Built an AI voice agent with ElevenLabs, Twilio, and GPT-5.2 to handle routine customer requests through natural phone conversations.

Discovery Education

United States

Software Engineering Intern

May 2025 — Aug 2025

  • Built full-stack product APIs connecting Vue.js workflows to serverless AWS services, with authentication and validation designed for production use.
  • Moved backend workflows to AWS Lambda and API Gateway with infrastructure managed through Terraform, reducing backend infrastructure costs by 25%.

Bajaj Finserv

India

Data Engineer

Jul 2022 — Jul 2024

  • Built Azure Data Factory and PySpark pipelines on Databricks to process and standardize more than 80 million customer records.
  • Built event-driven merchant-risk pipelines using Event Hubs and AWS Glue, contributing to a 0.18% reduction in UPI transaction fraud.
  • Reworked EMI data pipelines and storage, cutting loan processing time by 10% and storage costs by 25%.
  • Owned GitLab CI/CD workflows for data pipelines and production releases, reducing delivery time by 25%.
  • Tuned analytical workloads across Azure Data Warehouse and Athena to process more than 200 TB of transactional data.

Skills

Languages: Python, SQL, JavaScript, TypeScript, Scala, Shell / Bash

Cloud & data engineering: Amazon S3, Azure Data Factory, AWS Lambda, Step Functions, Kinesis, Athena, EventBridge, Azure Databricks

AI: GPT-5, LLMs, Pinecone, pgvector, Azure AI tools

Data & storage: PostgreSQL, SQL Server, Delta Lake, Lakehouse Architecture, Data Warehousing

Backend & APIs: Node.js, Express.js, Django, FastAPI, REST APIs, WebSockets, Auth0

DevOps & infrastructure: Terraform, Docker, CI/CD Pipelines, Git, Azure CLI

Projects

MetricCV

Dec 2025

An agentic resume-writing platform that turns job descriptions and candidate experience into tailored, ATS-focused resumes with less manual rewriting.

CuraRx

Sep 2025

An AI-assisted drug research workflow that helps healthcare providers navigate medication information and insurance coverage when evaluating prescribing options.

EduMind

Jan 2025

An assessment-generation platform that turns Canvas course materials into instructor-ready questions using a knowledge-graph RAG pipeline, improving educator productivity by 45%.

Education

University of North Carolina at Charlotte

Master of Science in Computer Science - Concentration in Data Science

2026

College of Engineering Pune (COEP)

Bachelor of Technology in Electrical Engineering

2022