KUNAL KOSHTA
@kunalkoshta
I build reliable backend systems and production ML inference platforms at scale.
What I'm looking for
At WorkSpan, I built a 50+ test end-to-end Pytest automation framework across microservices, reducing production defect escape by 25% and raising backend unit-test coverage from 62% to 84%.
At Matrice.ai, I deployed containerized computer-vision inference endpoints serving 10,000+ requests per day at 250 ms p95 latency. I also reduced cold-start latency by 45% and cut manual annotation review time by 60% through automated post-processing safeguards.
I've built full-stack AI interview and MLOps fraud-detection platforms using FastAPI, React, Docker, Kubernetes, AWS, CI/CD, and ML tooling. I'm targeting backend engineering and ML engineering roles where I can build scalable, reliable production systems.
Experience
Work history, roles, and key accomplishments
Built a 50+ test end-to-end Pytest automation framework across microservices, cutting production defect escape rate by 25%. Raised backend unit test coverage from 62% to 84% and developed an edge-case matrix that cut API regression detection time to under 2 hours.
Machine Learning Engineer
Matrice.ai
Jul 2025 - Dec 2025 (5 months)
I was an ML Intern at Matrice, where I worked on computer vision and machine learning models, focusing on model optimization, inference pipelines, and deployment using tools like YOLO, ONNX, TensorRT, and Triton.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Information Technology, Bhopal
Bachelor of Technology, Computer Science Engineering
2022 - 2026
Grade: 7.5
Activities and societies: Exception
Pursuing a B.Tech in Computer Science Engineering with coursework in DSA, OS, DBMS, Computer Networks, OOP, Software Engineering, ML, and Distributed Systems.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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