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Computer Science Engineering student focused on building AI/ML and production-style systems, from RAG chatbots to REST APIs and forecasting pipelines. I enjoy turning research-style ideas into deployable software with strong data engineering and evaluation. I work with modern tooling across FastAPI, Docker, AWS, and ML stacks like Keras, PyTorch tooling, and LangChain. I’m especially interested in MLOps, quantitative finance, and scalable systems where performance, reproducibility, and clean interfaces matter.…Computer Science Engineering student focused on building AI/ML and production-style systems, from RAG chatbots to REST APIs and forecasting pipelines. I enjoy turning research-style ideas into deployable software with strong data engineering and evaluation. I work with modern tooling across FastAPI, Docker, AWS, and ML stacks like Keras, PyTorch tooling, and LangChain. I’m especially interested in MLOps, quantitative finance, and scalable systems where performance, reproducibility, and clean interfaces matter.

Sanjeet B.Tech Computer Science & Engine

AI Engineer, AI Developer, Data Analyst, +5

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Computer Science Engineering student focused on building AI/ML and production-style systems, from RAG chatbots to REST APIs and forecasting pipelines. I enjoy turning research-style ideas into deployable software with strong data engineering and evaluation. I work with modern tooling across FastAPI, Docker, AWS, and ML stacks like Keras, PyTorch tooling, and LangChain. I’m especially interested in MLOps, quantitative finance, and scalable systems where performance, reproducibility, and clean interfaces matter.…Computer Science Engineering student focused on building AI/ML and production-style systems, from RAG chatbots to REST APIs and forecasting pipelines. I enjoy turning research-style ideas into deployable software with strong data engineering and evaluation. I work with modern tooling across FastAPI, Docker, AWS, and ML stacks like Keras, PyTorch tooling, and LangChain. I’m especially interested in MLOps, quantitative finance, and scalable systems where performance, reproducibility, and clean interfaces matter.

Available to hire

Computer Science Engineering student focused on building AI/ML and production-style systems, from RAG chatbots to REST APIs and forecasting pipelines. I enjoy turning research-style ideas into deployable software with strong data engineering and evaluation.

I work with modern tooling across FastAPI, Docker, AWS, and ML stacks like Keras, PyTorch tooling, and LangChain. I’m especially interested in MLOps, quantitative finance, and scalable systems where performance, reproducibility, and clean interfaces matter.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Language

Amharic

Advanced

Javanese

Advanced

Work Experience

Project: Stock Price Forecasting — LSTM + MLflow

June 1, 2026 - June 30, 2026

Built an LSTM-based model to forecast intraday stock prices using historical OHLCV data. Tracked experiments, parameters, and model versions using MLflow for reproducible workflows. Deployed the trained model as a REST endpoint and integrated it with a Streamlit dashboard for live predictions.

Project: Microservices REST API — Go (Gin)

May 1, 2026 - May 31, 2026

Implemented a production-style REST API in Go using Gin with JWT authentication. Added PostgreSQL for persistent storage and Redis caching to enable sub-10ms response times. Containerized the service with Docker and set up a CI/CD pipeline using GitHub Actions.

Project: Disease Predictor using MLP

April 1, 2026 - April 30, 2026

Designed and trained a Multi-Layer Perceptron (Keras Sequential) for disease classification. Achieved 81% accuracy. Containerized the application with Docker and exposed it via a FastAPI REST endpoint for inference.

Project: 3D Order Book Liquidity Simulator

October 1, 2025 - October 31, 2025

Built a simulation engine for limit order book dynamics and market microstructure. Implemented spoofing and flash crash scenarios to stress-test behaviors. Created interactive 3D visualizations using Plotly and designed a Streamlit dashboard for real-time exploration of simulation outputs.

Project: AI-Powered RAG Chatbot

February 1, 2025 - August 12, 2026

Developed a PDF-based question-answering system using LangChain with semantic chunking via PyPDF. Used ChromaDB for efficient vector retrieval and integrated Mixtral-8x7B through HuggingFace Transformers. Deployed inference with a FastAPI service endpoint and supported interactive usage through a deployed interface.