Parth Verma
@parthverma
Backend-focused developer building REST systems with Python, Node.js, TypeScript, and Docker.
What I'm looking for
I’m a backend-focused developer with production experience building RESTful systems in Python, Node.js, TypeScript, and Docker. I’ve shipped a distributed video processing platform and a real-time webhook debugging CLI from scratch.
In my backend role at Honeybee Digital, I built a Flask + Celery + Redis async pipeline ingesting 500K+ CSV records/day, cutting manual load time by ~70% and eliminating API-blocking under heavy load. I also implemented hash-based deduplication with indexed MySQL constraints, removing ~20% duplicate records across 3 client datasets.
I’m strong in performance-minded backend engineering: containerizing via Docker Compose reduced environment setup from hours to under 5 minutes, while async task processing kept API response under 200ms at peak.
Across projects, I designed FastAPI endpoints with Redis-backed async queues and FFmpeg worker pipelines for multi-resolution processing up to 50MB non-blocking, plus S3-backed job lifecycles. I also enjoy debugging and tooling—like my WebHookForge CLI that preserves raw payloads for verifiable HMAC signatures.
Experience
Work history, roles, and key accomplishments
Backend Developer
Honeybee Digital
Nov 2025 - Jan 2026 (2 months)
Built a Flask + Celery + Redis async pipeline ingesting 500K+ CSV records/day, cutting manual load time by ~70% and keeping API responses under 200ms at peak. Implemented hash-based deduplication via indexed MySQL constraints (~20% fewer duplicates) and containerized the stack with Docker Compose to reduce environment setup to under 5 minutes.
Education
Degrees, certifications, and relevant coursework
Ajay Kumar Garg Engineering College
B.Tech, Computer Science & Engineering (AI & ML)
2023 - 2027
Grade: 7.71/10
Pursuing a B.Tech in Computer Science & Engineering with a specialization in AI & ML. Achieved a CGPA of 7.71/10.
DeepLearning.AI
Course certificate: Supervised Machine Learning, Machine Learning
2023 -
Completed the Supervised Machine Learning course through DeepLearning.AI (Stanford University) in Aug 2023.
Availability
Location
Authorized to work in
Job categories
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