SHAIKH OSAMAH SHARIF

B.E. CSE (AI & ML) student · Software Developer Intern

Mumbai, Maharashtra, India

@osamah_shaikh

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🎓 B.E. Computer Science, Specialization: AI & Machine Learning at M.H. Saboo Siddik College of Engineering · Graduating 2028

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About

B.E. Computer Science student specializing in AI & Machine Learning with experience building backend APIs, ML workflows, and LLM-powered applications. Skilled in Python, FastAPI, React, Docker, and cloud/deployment tooling.

Experience

Software Developer Intern

Tech Modulus

Jun 2026 – Present

Wrote Python code for application features and data-processing tasks. Built REST APIs with FastAPI, validating requests and responses. Performed data preprocessing, feature engineering, model training, and performance evaluation in machine learning workflows. Integrated LLM APIs, applying prompt engineering and retrieval-augmented generation (RAG) in LLM application work. Debugged and tested code to identify errors and improve reliability. Tracked code changes with Git and prepared applications for deployment using Docker and CI/CD concepts.

Education

2028

B.E. Computer Science, Specialization: AI & Machine Learning

M.H. Saboo Siddik College of Engineering

Computer Science · Jun 2028

Computer Science · Jun 2028

Skills

3 to 6 months

Python FastAPI Feature Engineering

<3 months

SQL CSS RAG HTML React Trivy Faiss Pandas Node.js Streamlit LangChain LangGraph JavaScript TensorFlow TypeScript scikit-learn Deep Learning Supervised Learning Natural Language Processing

Tools / apps / platforms

3 to 6 months

Git Docker

<3 months

Argocd QDrant Terraform Jenkins CI Kubernetes PostgreSQL GitHub Actions Amazon Web Services AWS Amazon Elastic Compute Cloud EC2

Projects

Ola AI Data Agent

Python, FastAPI, React, TypeScript, LangGraph, Docker, Jenkins, Trivy, AWS ECR, EC2

Developed a web application that accepts natural-language data requests and runs ETL processing and SQL analysis workflows. Built REST APIs using FastAPI and integrated a React and TypeScript frontend for submitting requests and viewing results. Orchestrated data-processing and SQL-analysis workflows with LangGraph, using mock execution as the default mode. Configured Jenkins to run tests, build Docker images, validate dependency versions, and scan images with Trivy for vulnerabilities. Published Docker images to AWS ECR and defined a Docker Compose deployment for EC2 with health checks and a private backend service.
Garage AI – Real-Time AI Voice Assistant

Python, LiveKit, Flask, WebRTC, React, LLM APIs

Developed a real-time AI voice assistant using LiveKit and Python, enabling interactive voice conversations through a React frontend. Integrated a Flask-based token server to generate participant access tokens and manage authenticated connections to LiveKit rooms. Implemented voice-agent session orchestration, connecting frontend participants with the Python agent for real-time conversational interactions. Investigated room lifecycle and agent-dispatch failures to improve connection reliability and disconnect/reconnect handling.

Courses & certifications

AWS Zero to Hero · Train with Shubham · 2026
Data Scientist Certification · Code With Harry · 2026

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