Hello! 👋

I'm Rohit Nagotkar

Full-Stack & GenAI Engineer — 4 deployed apps, 20%+ UX lift | Python • Node • AWS • React | M.S. CS (Data Science) ’25 | Ex-Lead SWE

About Me

I design, build, and ship data-driven products—spanning React/Node frontends, Python services, AWS infra, and LLM/RAG pipelines. Recently: integrated LLM features that increased engagement by 20% and built layout-aware OCR covering ~90% of core UI flows. I’m seeking Full-Stack, ML, or GenAI engineer roles where I can own features end-to-end and prove impact with metrics.

Python JavaScript TypeScript React Node.js FastAPI Flask PostgreSQL MongoDB SQL AWS (Lambda, S3, API Gateway, EC2) Docker GitHub Actions Elasticsearch LangChain OpenAI APIs RAG Vector DB (Pinecone) Prompt Engineering Computer Vision Tableau

Experience

AI Engineer

Halo AI

Jan 2024 – Aug 2024
  • Integrated LLMs with function calling to enable 7 intent-based actions via conversational UI.
  • Shipped LLM features and usage tracking, informing UX changes that drove ~20% engagement lift.
  • Built layout-aware OCR for mobile screenshots; captured structured data across ~90% of core flows.

Software Developer

Seattle University

Jul 2024 – Jul 2025
  • Maintained university web properties for reliability and accessibility; triaged and resolved production issues.
  • Improved site quality via testing and CI checks, reducing regressions and time-to-fix.

Graduate Teaching Assistant

Seattle University

Feb 2024 – Apr 2024
  • Supported CPSC 5071 (Data Management for Data Science): problem-solving sessions and grading with targeted feedback.
  • Drove student engagement via office hours/Teams; clarified database and ETL concepts.

SUM Corps Maths Tutor

Seattle University

Oct 2023 – Apr 2024
  • 1:1 and group tutoring (algebra, geometry, calculus); improved confidence and test performance.

Lead Full-Stack Engineer

FinSoftAi Solutions Private Limited

Aug 2021 – Sep 2023
  • Led SST-Research, a React/Node/Elasticsearch platform combining sentiment, search, and TA for institutional investors; modular component architecture for customizable UIs.
  • Automated data pipelines with AWS Lambda (Python) + REST APIs for real-time visualizations.
  • Built mobile-friendly consumer product for market sentiment alerts with scheduled delivery.

Software Engineer

FinSoftAi Solutions Private Limited

Apr 2020 – Jul 2021
  • Created a QueryBuilder to compose complex logical filters over Elasticsearch for precise results.
  • Prototyped SST-Beat to summarize sentiment and price trends for target tickers.

Junior Data Scientist

Omdena

Apr 2020 – Jun 2020
  • Collaborated with 34 contributors and WFP to identify items in cyclone-hit regions from imagery.
  • Cleaned and analyzed proprietary/public datasets; surfaced modeling features with matplotlib/seaborn.

Projects

01

DVPO Drafting Automation

LLM writing assistant for Family Law Center to help survivors draft protection order petitions. Generates targeted follow-ups to improve clarity and reduce law-student interview time; designed for emotionally sensitive, legally sound narratives.

PythonLLMAI
02

DocuMentor

GenAI learning tool (React + Flask) that explains PDFs, generates FAQs, and creates up to 50 customized questions per document to improve retention.

ReactPythonFlaskAI
03

Retrieval-Augmented GenAI Pipeline

LangChain + Pinecone + OpenAI RAG pipeline for multi-turn queries; +35% document-grounded relevance and ~30% noise reduction in retrieval via chunking and embedding tuning.

PythonAIMachine Learning
04

Netflix Data Analysis

Interactive Tableau dashboard exploring geographic and yearly distribution of titles to inform marketing decisions.

PythonData ScienceTableau
05

Spotify Hits Analysis

End-to-end ML workflow for popularity prediction (80% accuracy). Emphasis on feature selection and model tuning; reproducible notebooks and pipeline.

PythonMachine LearningData Science
06

Heart Attack Classification

EDA + ML classifiers (LogReg, KNN, SVC). Achieved 94% precision and 0.93 recall for heart-disease risk prediction (KNN).

PythonMachine LearningData Science
07

SSi-FAANG (Market Sentiment)

Daily social-sentiment insights for FAANG to support trading decisions; web app with regular updates and fixes.

PythonData ScienceReactNode.jsAWS
08

Quantum RL for Zero-Sum Games

Quantum feed-forward layers inside DQN; outperformed classical DQN on Tic-Tac-Toe in sample efficiency.

PythonMachine Learning
09

Real-Time Emotion Recognition

Custom CNN trained on fer2013 with augmentation; real-time webcam inference across seven emotions.

PythonMachine LearningComputer Vision
010

Mamoo

Event planning app connecting users with vendors; assisted across React/AWS/TypeScript backend and UI flows.

ReactAWSJavaScriptTypeScriptNode.js

Education

M.S. in Computer Science (Data Science)

Seattle University

Sep 2023 – Jun 2025
  • CGPA: 3.92/4.0
  • Relevant Coursework: Large Language Models, Big Data Analytics, Machine Learning, AI, Visual Analytics, Ethics, Capstone

B.E. in Electronics and Telecommunication

PICT (Pune Institute of Computer Technology)

Sep 2017 – Jul 2021
  • CGPA: 9.4/10.0
  • Relevant Coursework: Fundamentals of Programming, Data Structures and Algorithms, OOPs