About
Backend Engineer with 3.7+ years of experience building scalable APIs, microservices, and ETL pipelines using Python and FastAPI. Strong expertise in AsyncIO, Kafka, SQL, and AWS with production experience in high-load systems. Proven ability to improve performance, throughput, and system reliability in enterprise environments.
Skills & Expertise (21)
Work Experience
Assistant Professor (Programming Mentor)
Invertis University
Oct 2021 - Mar 2023
Mentored student projects focused on ML model development, data analytics systems, RPA automation workflows, and web-based AI applications.
Senior Associate (Senior Backend Engineer)
Brahma AI Systems Private Limited
May 2025 - Dec 2025
Designed and implemented scalable FastAPI microservices and Kafka-based asynchronous data pipelines for Americana Foods, improving system efficiency by ~30% and data processing throughput by ~25%. Optimized PostgreSQL queries, indexes, and schemas to support high-volume enterprise datasets with improved performance and reliability. Contributed to service architecture decisions, API contracts, and inter-service communication design, and automated critical operational workflows using Microsoft Power Automate, reducing manual effort by ~40%. Implemented logging, monitoring, and reliability improvements for distributed backend services.
Associate Python Developer (Backend Engineer)
Techolution
Apr 2023 - Dec 2024
Led the real-time speech-to-text streaming module for an enterprise chatbot platform for GNC Holdings, architecting the RAG pipeline and building FastAPI + WebSocket-based transcription ingestion services using Faster-Whisper, improving transcription speed and stream stability by ~25%. Designed and implemented a cloud-based music ingestion ETL pipeline using AWS S3 and FastAPI + AsyncIO-based asynchronous microservices for iHeartMedia, enabling large-scale audio data ingestion and improving data transformation efficiency by ~30%. Improved production reliability and observability through testing, logging, monitoring, debugging, and API integration, increasing platform stability by ~20%.
Education
PhD - Computer Science (Part-time, Remote) - NIT Jalandhar
2025 - · Afghanistan
M. Tech - Computer Science and Engineering - NIT Meghalaya
2015 - 2017 · Afghanistan
B. Tech - Computer Science and Engineering - Invertis University
2011 - 2015 · Afghanistan
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