Shahajahan Bekinalkar

AI Engineer · Backend Developer · Machine Learning

Profile

Final-year Computer Science student specializing in AI/ML with hands-on experience in Machine Learning, LLMs, and MLOps. Experienced in building and deploying scalable ML systems using FastAPI, Docker, MLflow, and cloud platforms.

Technical Skills

Languages:
Python, Java, C, C++, SQL
Frameworks:
PyTorch, TensorFlow, Hugging Face, Scikit-Learn, FastAPI, Django
MLOps & Cloud:
Docker, Kubernetes, MLflow, Azure ML, AWS
Tools:
Kafka, Jenkins, Terraform, GitHub Actions

Projects

AI-Powered Customer Support Automation

Built an end-to-end NLP system to classify and route customer queries using DistilBERT. Deployed via Flask with real-time predictions and a web interface.

DistilBERT · Flask · Twilio · LLMs

Retrieval-Augmented Generation (RAG) System

Designed a scalable RAG pipeline using vector search, LlamaIndex, and MLflow for experiment tracking and reproducibility.

LlamaIndex · MLflow · FastAPI · Docker · AWS

Experience

Backend + AI Developer — MH Cognition

Architected and deployed scalable microservices using Django and Spring Boot. Integrated AI models for enhanced functionality and performance., achieving 97% model accuracy on 100K+ production records. Built RESTful APIs, integrated ML inference pipelines, and optimized database queries for 40% faster response times.

Certifications & Achievements