Hi, I'm Prateesh Reddy Patlolla

I Convert Coffee into Code

Data Scientist & Machine Learning Engineer

About Me


I’m a Senior Data Scientist with over 3 years of experience building and scaling machine learning, optimization, and cloud-based AI solutions. I hold a Master’s degree in Data Science from Indiana University Bloomington (GPA: 4.0/4.0), and my expertise spans machine learning, demand forecasting, optimization algorithms, A/B testing, data engineering, and full-stack model deployment.

My core strength lies in developing scalable ML pipelines and applying advanced statistical and optimization techniques to solve large-scale infrastructure and business challenges. Recently at Toyota, I led a $150M optimization initiative by designing predictive scheduling and production planning models using constrained linear programming (GurobiPy), significantly enhancing supply chain efficiency and manufacturing throughput.

Expanding into Generative AI, I developed and deployed an internal Q&A system ("AskToyota") leveraging LLaMA2, FAISS, and LangChain to streamline access to critical forecasting and scheduling documentation. This tool improved operational decision-making across business units and demonstrated my ability to deploy secure, production-ready LLM solutions in an enterprise environment.

I have extensive hands-on experience with cloud platforms like AWS and Azure, where I designed solutions for real-time data processing, scalable model training (SageMaker), automated ML pipelines (Airflow), and containerized API deployments (Docker, FastAPI). My background includes building robust ETL pipelines, managing big data processing with PySpark and Redshift, and ensuring high-quality data flows into production ML systems.

With deep experience in supply chain analytics, demand modeling, optimization, and Generative AI, I am passionate about applying cutting-edge machine learning and cloud technologies to drive real business impact. I bring a strong focus on operational scalability, cost savings, and innovation to every project.

If you'd like to connect about potential opportunities, projects, or collaborations, feel free to Email Me or Download my Resume.




Visual Studio Code Python R Java Docker AWS TensorFlow JavaScript React SQL MySQL Git GitHub




Checkout My Projects

Prateesh’s AI Resume Assistant

Prateesh’s AI Chatbot Assistant

Built and deployed a Generative AI chatbot hosted on this website to answer detailed questions about Prateesh’s background — a RAG-based system tailored for recruiters and hiring managers. Used OpenAI’s GPT‑3.5‑turbo with custom prompt engineering, LangChain for orchestration, and FAISS for vector search over ada text embeddings. Stores unanswered questions for continoues improvement. Deployed serverlessly via Cloudflare Workers with CI/CD, logging, and auto-monitoring of unseen queries.

Text Summarization using
Advanced NLP Methods

Text Summarization

To Provide Cognitive search capability to search against database like FDA and EMA (European medical agency) via a natural language question and return relevant results in order to help with accelerating regulatory submissions for Eli Lilly. Performed abstraction based Natural language generation methods like T5 Transformer, GPT-2 Algorithm and BART Transformer

PixelGram – Full-Stack Photo Sharing App

PixelGram project preview

PixelGram is a distributed photo-sharing app built with a microservices architecture using REST APIs and RabbitMQ for asynchronous communication. It supports features like image uploads, user authentication, and activity feeds. The system is containerized with Docker and deployed via Jenkins pipelines on an OpenShift cluster for scalability and modular development.

Blockchain Financial
Transaction System

In Banking and finance sector, the term Blockchain is frequently heard. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data. This project is an effort to give bank the ability to access a single source of information and also allows them to track all documentation and validate ownership of assets digitally, as an unalterable ledger in real time.