Gurusai
Chittoji

ML & AI Engineer  •  Full-Stack Developer
M.S. Computer Science @ University of Bridgeport

4+ years of professional experience building end-to-end systems across applied machine learning, AI agents, and full-stack development. Strong background in designing scalable pipelines, deploying ML models into production, and integrating AI solutions into real-world software products.

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Professional Experience

Software Engineer
One Community Inc. • Jun 2025 – Oct 2025
  • Enhanced HGN App dashboards by processing user activity and task completion metrics using analytics-style data processing.
  • Optimized backend APIs and frontend rendering for large datasets, improving end-to-end data pipeline efficiency.
  • Contributed to CI/CD workflows, version control, and peer code reviews to support reliable deployments.
  • Developed data-driven automation features, strengthening system design and deployment skills relevant to AI/ML production environments.
Front Desk Assistant
University of Bridgeport, CT • Nov 2024 – Apr 2025
  • Assisted students and faculty with inquiries, providing excellent customer service in a fast-paced environment.
  • Managed administrative operations: documentation, scheduling, data entry, and maintaining confidentiality of student records.
AI / ML Engineer
Neolytix • May 2021 – Jun 2023
  • Designed and deployed machine learning solutions using supervised learning and feature engineering, improving operational efficiency by 30% and reducing manual effort by 25%.
  • Built end-to-end AI pipelines for data preprocessing, model training, validation, deployment, and monitoring — reducing development cycles by 40%.
  • Developed classification, regression, and NLP models using TensorFlow, PyTorch, and scikit-learn achieving up to 92% accuracy.
  • Implemented embedding-based retrieval with semantic search (RAG-style) to enhance contextual relevance in NLP applications.
  • Deployed scalable RESTful APIs for ML inference enabling real-time predictions; reduced failure rates by 20%.
Java Full Stack Developer Trainee
JSpiders • Aug 2020 – Apr 2021
  • Built web applications using Java, React.js, HTML5, CSS, JavaScript, and MySQL, demonstrating full-stack fundamentals.
  • Implemented CRUD operations and integrated frontend components with backend services.
  • Participated in code reviews, debugging sessions, and team-based development workflows.

Education

Master of Science in Computer Science
University of Bridgeport — Connecticut, USA
September 2023 – May 2025  ·  Focus: Machine Learning & AI Systems
GPA: 3.4 / 4.0

Projects

Project 01
Employee Attrition Prediction Model
Built and deployed a Python/scikit-learn predictive model achieving 87% accuracy and 0.82 F1 score via Flask API, cutting manual HR analysis time by 60%.
Python Scikit-learn Flask ML
Project 02
Full-Stack E-Commerce Platform
Scalable platform using Java (Spring Boot), React, PostgreSQL, and AWS. Integrated JWT auth, Stripe/PayPal, and image uploads. Achieved 99% uptime and 35% faster frontend performance.
Java Spring Boot React AWS PostgreSQL
Project 03
Electric Vehicle Modeling & Analysis
Designed an electric vehicle model to enhance energy efficiency, reduce emissions, and improve performance while lowering maintenance costs compared to conventional vehicles.
Python Data Analysis Modeling
Project 04
Looksy
A LangChain-powered AI search agent that searches the live web using Tavily API and summarizes results with OpenAI GPT-3.5. Uses the ReAct pattern — the agent autonomously decides what to search, retrieves results, and returns a smart, up-to-date answer. Deployed end-to-end with Flask on Render.
LangChain OpenAI GPT-3.5 Tavily API Flask Render Python
GitHub Live Demo
Project 05
Nova
A RAG-powered document Q&A app — upload any PDF or Word file, ask questions in plain English, and get accurate answers grounded in your document. Built with LangChain, FAISS vector embeddings, and OpenAI GPT-3.5. Deployed serverlessly on AWS Lambda with S3 for document storage.
LangChain RAG FAISS OpenAI GPT-3.5 AWS Lambda AWS S3 Flask
GitHub Live Demo

Technical Skills

Languages & Frameworks
PythonJavaJavaScriptTypeScriptSQLFlaskFastAPIPyTorchTensorFlowScikit-learnJAX
LLM & AI Tools
LLM Fine-TuningRAG PipelinesLangChainBERTSentence-TransformersFAISSPineconePrompt Engineering
Frontend
React.jsHTML5CSS3Tailwind CSSGraphQLjQuery
Cloud & DevOps
AWS EC2S3RDSLambdaDockerGitHub ActionsCI/CDMongoDB

Achievements

92%
Peak Model Accuracy (NLP)
40%
Faster Dev Cycles at Neolytix
30%
Operational Efficiency Improvement
60%
Reduction in Manual HR Analysis
99%
Uptime on E-Commerce Platform
3.4
Graduate GPA / 4.0

Let's Work Together

Actively seeking roles at AI-driven startups and global organizations working at the intersection of machine learning and software engineering. Open to full-time, remote, and contract opportunities.

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