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Neha Jagtap

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About Me

I build AI agents for enterprise teams, and the part I enjoy most is the messy middle, where a model meets real data, real users, and real constraints. I started out building data pipelines at Jio, which taught me to care about clean data, good tests, and systems that hold up. During my master's at NC State I got hooked on LLMs, and today I work as a Software Engineer on an AI platform at Infosys, building multi-agent workflows, RAG pipelines, and the evaluation and guardrails that make them reliable.

20+

Projects Completed

4+

Years of experience

2x

Hackathon Winner

1

IEEE Publication

Experience & Education

  1. Software Engineer, AI Platform

    Infosys Limited, Raleigh, NC, USA

    Architected an AI-powered analytics platform serving 1,200+ business users across 12 enterprise dashboards, with multi-agent workflows built on LangGraph and Agno, conversational analytics on Databricks Genie, and tools shared through an MCP hub. Cut hallucinations 44% and raised agent task success 35% with an LLM-as-a-judge evaluation pipeline in LangSmith, and reduced response time from 10–12s to 6–7s with parallel tool calls and query routing.

  2. Teaching Assistant, Database Management Systems

    North Carolina State University, Raleigh, NC, USA

    Mentored 148 graduate students on database course projects, guiding schema design, SQL optimization, and implementation, and evaluated and graded projects through live demonstrations.

  3. Software Development Engineer Intern

    U.S. Department of Agriculture, Albany, CA, USA

    Built a GPT-4 RAG pipeline (LangChain, OpenAI embeddings, FAISS) to extract traits and QTLs from 36 genetics papers, achieving 97% paper categorization and 80% trait extraction. Built a genomic data search portal (Flask, JavaScript, MongoDB, Docker) that cut manual retrieval effort by 88%.

  4. Software Development Engineer

    Reliance Jio Platforms Limited, Mumbai, India

    Built forecasting pipelines with Azure ML, Databricks, and Azure Data Factory that reduced warehouse stockouts 25% across 20+ regions; led an address intelligence platform processing 8M+ delivery records that improved delivery accuracy 32%; and engineered 12+ production ETL pipelines (Kafka, Hive, MongoDB, SAP HANA) with CI/CD on Docker, Kubernetes, and Azure DevOps.

  1. Master of Computer Science

    North Carolina State University, Raleigh, NC, USA

    GPA 3.67/4.0. Algorithms and Data Mining, Neural Networks and Deep Learning, Software Engineering, Cloud Computing.

  2. Google Scholar - IEEE Xplore

    Land Registration System Using Block-chain

    Proposed blockchain based land registration system which provides a transparent, secured, and decentralized method for execution of transactions between the participants by employing the concept of hyper ledger.

  3. Bachelor of Engineering in Computer Engineering

    University Of Mumbai, India

    GPA 9.17/10. Data Structures, Machine Learning, Natural Language Processing, Artificial Intelligence, Statistics

Skills

Python
PythonAdvanced
LangGraph
LangGraphAdvanced
LangChain
LangChainAdvanced
Agno
AgnoAdvanced
MCP
MCPIntermediate
OpenAI
OpenAIAdvanced
FastAPI
FastAPIIntermediate
Databricks
DatabricksAdvanced
PySpark
PySparkIntermediate
Kafka
KafkaIntermediate
MongoDB
MongoDBAdvanced
PostgreSQL
PostgreSQLIntermediate
Azure
AzureAdvanced
AWS
AWSIntermediate
Docker
DockerIntermediate

Awards

🏆 Winner
PearlHack 2025

PearlHack 2025

Issued By: Infosys Foundation USA - Best Use of AI

Issued On: March 2025

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🏆 Winner
DiamondHacks 2024

DiamondHacks 2024

Issued By: North Carolina State University

Issued On: April 2024

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Spotlight Award

Spotlight Award

Issued By: Reliance Jio Platforms Ltd.

Issued On: August 2023

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Recent Works

Testimonials

Eric Yao
Eric Yao

Principle Software Engineer at U.S Department of Agriculture.

I had a great experience working with Neha. She is a talented and capable coder. Definitely a self-starter. The project started with limited direction but she took off churning through several new technologies and APIs, picking up on her own, including backend services, containerization, devops and frontend GUI. She not only demonstrated she is a full-stack capable, she also demonstrated rich visual asthetic and awareness. She worked well in our team. She is an inqusitive and thoughtful problem solver and a pleasure to work with. You'd be silly not to hire her.

Certifications

Microsoft Certified: Azure AI Fundamentals

Issued: March 2025

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Microsoft Certified: Azure Data Fundamentals

Issued: October 2024

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Introduction to Generative AI

Issued: Nov 2024

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Getting Started with Deep Learning

Issued: Jan 2024

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Get In Touch

Let's talk!

Working on agents, RAG, or MCP, or hiring for an AI engineering role? Email is the fastest way to reach me.