Junior Backend Engineer with 1+ years in AWS & Data Engineering
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Backend-focused engineer with hands-on experience building data-intensive systems on AWS (RDS/PostgreSQL, SQS, Batch, Lambda, ECR, S3) using Python, Docker, and REST APIs. Experience designing asynchronous, event-driven pipelines and ETL workflows for high-volume operational data, and optimizing infrastructure cost and latency in production.
Netaji Subhas University of Technology (NSUT)
B.Tech · Instrumentation & Control Engineering
August 1, 2022 – June 30, 2026
Hub9
ML Inference Engineer Intern
August 1, 2026 – Present
India
Transline Technologies
1 yr 1 mo
AI Trainee
March 1, 2026 – May 1, 2026
India
ML Intern
April 1, 2025 – July 1, 2025
India
ANPR Detection & Recognition Pipeline
October 1, 2026 – Present
Built a two-stage vehicle detection and plate-recognition pipeline (YOLOv11n + PaddleOCR) with regex post-processing, improving accuracy from ~80% to ~95%; optimized to sustain 15–20 FPS and deployed to NVIDIA Jetson edge devices via SSH.
View ProjectCustomer-Sales Data Warehouse System
October 1, 2026 – Present
Designed and containerized an end-to-end ETL data pipeline using Docker, implementing a Bronze-Silver-Gold layered architecture for structured ingestion, validation, and transformation of large-scale operational data.
View ProjectInference Optimization on SmolVLA and Simulation via MuJoCo
October 1, 2026 – Present
Built a Python model inference pipeline loading a SmolVLA policy via Hugging Face checkpoints into MuJoCo, integrating model loading, preprocessing, and closed-loop control; benchmarked on Apple Silicon (MPS) to cut end-to-end execution overhead.
Cultural Fit Analysis
Insufficient data to assess cultural fit. No projects, experience, or skills are provided to evaluate diversity or alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or project/experience descriptions are available.