Open to opportunities

sneha bhattacharjee

@snehabhattacharjee

Message

Data Scientist building production GenAI and multi-agent systems with measurable business impact.

India

Message

What I'm looking for

I’m looking for a role where I can ship production GenAI and multi-agent systems end-to-end—turning ambiguous business needs into scoped solutions—using cloud-native deployments on AWS/GCP, with room to grow GCP-native agentic deployments.

I’m a Data Scientist and Full-Stack Engineer with 4 years of experience building and shipping production-grade GenAI and multi-agent systems. I focus on translating ambiguous business needs into scoped, working solutions that can run reliably in real environments.

At GE Aerospace, I deployed 3 production-grade GenAI applications on AWS using LangGraph and multi-agent orchestration patterns. I reduced process Turnaround Time from 28 days to 14 days and improved First Time Yield from 87% to 95% across business-critical workflows.

I’ve also architected retrieval-augmented systems that deliver accurate enterprise document retrieval with sub-2s response latency. By leading cloud-native deployment of containerised GenAI services (Python backend + Vue.js frontend) via Docker on AWS ECS, I helped maintain 99.5%+ uptime.

My background includes owning feature delivery for a Java Spring Boot microservices platform serving 1000+ internal users, plus building test automation pipelines that cut manual QA effort by ~60% and reduced post-release defect rate by ~30%.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

GE Aerospace

Apr 2025 - Present (1 year 3 months)

Deployed 3 production-grade GenAI applications on AWS using Python and LangGraph, reducing process turnaround time from 28 to 14 days and improving first time yield from 87% to 95% across business-critical workflows. Built multi-agent RAG orchestration with LangGraph/ReAct (sub-2s latency) and led Dockerized deployments on AWS ECS, maintaining 99.5%+ uptime.

LangGraph React Python AWS ECS Docker Vector Databases Prompt Engineering Vue.Js

Enterprise Application Engineer

GE Aerospace

Sep 2023 - Mar 2025 (1 year 6 months)

Led end-to-end feature delivery for a Java Spring Boot microservices platform serving 1000+ internal users, owning backend API design through frontend integration and reducing release cycle time by ~25%. Built automated test pipelines validating 20+ features, cutting manual QA effort by ~60% and reducing post-release defect rate by ~30%; configured AWS CloudWatch alarms to improve availability and

Java Spring Boot Microservices API Design Automated Testing AWS Cloudwatch Test Automation Backend Engineering Frontend

Enterprise Application Specialist

General Electric Aviation

Jul 2021 - Aug 2023 (2 years 1 month)

Collaborated with product owners to align critical data for external-facing applications by gathering end-user requirements and prioritizing enhancements, improving on-time delivery and stakeholder transparency. Developed and deployed frontend enhancements and database modifications to improve user experience across enterprise aviation applications.

Requirements Analysis Stakeholder Management Frontend Development Enterprise Application Support Product Collaboration

Software Engineering Intern

GE Renewables DT

Jan 2021 - Jun 2021 (5 months)

Delivered frontend features using Polymer.js and resolved production defects within an Agile framework, gaining end-to-end exposure to live enterprise application delivery. Worked on shipping improvements while addressing issues in production environments.

JavaScript Frontend Development Agile Defect Triage Web Application Support

Education

Degrees, certifications, and relevant coursework

Georgia Institute of Technology

Master of Science in Computer Science (OMSCS), Computer Science

2025 - 2025

Completed coursework/projects for OMSCS, building Spatio-Temporal GNN models for volatility forecasting and an image matching pipeline using feature matching and geometry estimation techniques.