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.
Mukul Dixit
@mukuldixit
I build fault-tolerant distributed systems, scalable APIs, and real-time machine learning applications.
What I'm looking for
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
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
Master of Computer Applications, Computer Applications
2024 -
Grade: CGPA: 8.42
Pursuing a Master of Computer Applications with a CGPA of 8.42.
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%.
Tech stack
Software and tools used professionally
Availability
Location
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Portfolio
mukuldixit.netlify.appSalary expectations
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