Backend Engineer · FastAPI · Python · PostgreSQL · ML
BTech Computer Engineering · Building production-style APIs & ML-powered systems
Computer Engineering graduate with hands-on experience building production-style REST APIs and ML-powered backend systems using Python, FastAPI, Flask, and PostgreSQL. I design modular architectures, write comprehensive test suites, and deploy scalable applications.
I've demonstrated the ability to contribute from day one — implementing full CRUD operations, designing OOP-based backends with separation of concerns, and achieving 100% endpoint coverage through rigorous Postman testing. My work spans real-time ML inference pipelines, emergency alert systems, and large-scale data analysis on 240K+ records.
I'm actively seeking a backend or full-stack engineering role where I can bring both my engineering rigor and data science expertise together.
""The best way to predict the future is to build it."
Building production-grade REST APIs with modern Python frameworks.
Designing schemas and writing performant queries across SQL databases.
Comprehensive test coverage from unit tests to full API validation.
End-to-end ML pipelines from raw data to deployed predictions.
Deploying and managing applications with modern cloud tools.
Transforming raw data into actionable insights and dashboards.
Building interactive dashboards and compelling data visualizations for business insights.
Core language for data science, backend development, and ML pipelines.
Building neural network models and NLP pipelines for text and audio data.
Modern development tools and workflows used across data science and backend projects.
// Role: Backend Engineer · FastAPI · PostgreSQL · REST API
// Role: AI Engineer / Full-Stack Developer · Flask · TensorFlow · PostgreSQL
// Data Scientist / ML Engineer
// Data Scientist / Data Analyst
// Data Analyst
// Data Analyst
// Data Scientist
// Data Analyst / ML Engineer
Ability to design modular, testable backend systems with clean separation of concerns — not just prototype code.
Catching edge cases before deployment — 20+ Postman test cases per project with 100% endpoint coverage and 10+ latent bugs fixed.
Bridging the gap between data science and engineering — integrating trained models into production APIs with real-time inference.
Strong SQL and analytics skills to extract insights from large datasets — from 240K+ telecom records to Power BI dashboards.
Dr. Babasaheb Ambedkar Technological University, Lonere
Focused on Computer Engineering with strong exposure to Artificial Intelligence, Machine Learning, Data Science, and Full-Stack Development. Built multiple real-world end-to-end projects demonstrating problem-solving, data handling, and backend application development.
// Academic & Personal Projects
Strong Python, SQL, DSA, and CS fundamentals through coursework.
ML pipelines, Power BI dashboards, EDA on real-world datasets.
FastAPI + PostgreSQL production APIs with full test coverage.
Seeking backend / full-stack role to contribute from day one.
I am actively seeking backend or full-stack engineering roles where I can design scalable REST APIs, work with production databases, and bring ML capabilities into real products.
My goal is to work with organizations that value clean engineering, data-driven decision-making, and provide opportunities for professional growth.