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Mukul DixitMD
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Mukul Dixit

@mukuldixit

I build fault-tolerant distributed systems, scalable APIs, and real-time machine learning applications.

India
Message

What I'm looking for

I’m open to backend, full-stack or AI/ML roles, i don’t want to over-narrow this early in my career.
Work setup: remote, hybrid, or on-site
Location: Open to relocation
Availability: Immediate
What I value most: Real ownership of what I ship, a team that moves fast and builds things that matter.

At Mark My AD, I build the distributed infrastructure behind a multi-tenant platform, enabling multiple clients to operate on one shared, scalable backend. I've designed 50+ production endpoints and webhook integrations, including idempotent handling for Meta's at-least-once delivery guarantees.

I also built a Layer 4/Layer 7 load balancer from scratch in Python, with pluggable routing, health checks, automatic node re-admission, mid-flight failover, structured logging, and runtime metrics.

My projects span backend systems and applied machine learning. For SmartEye, I created a real-time CCTV violence detection pipeline using CNN and LSTM models, achieving 90% accuracy and 0.91 AUC; for Future's Hope, I built REST APIs and WebSocket-based messaging in a containerized multi-tier application.

I'm grounded in data structures, algorithms, operating systems, computer networks, and object-oriented design, and have solved 600+ problems with a peak LeetCode rating above 1900.

Experience

Work history, roles, and key accomplishments

MA
Current

Full-Stack Developer

Mark My AD

Feb 2026 - Present (7 months)

*Designed and built core distributed infrastructure to
onboard multiple client tenants onto a shared backend.
*Implemented 50+ endpoints and webhook integrations
with idempotent handling for Meta's at-least-once
delivery guarantees.
*delivered a billboard detection capability by training
models on custom Roboflow datasets.

Education

Degrees, certifications, and relevant coursework

Maulana Azad National Institute of Technology logoMT

Maulana Azad National Institute of Technology

Master of Computer Applications, Computer Applications

2024 -

Grade: CGPA: 8.42

Pursuing a Master of Computer Applications with a CGPA of 8.42.

BC

B.S.A. College

Bachelor of Science, Computer Science

2020 - 2023

Grade: 60.4%

Completed a Bachelor of Science in Computer Science with a percentage of 60.4%.

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