Ratnesh Kumar Jaiswal
@ratneshkumarjaiswal
I build reliable cloud, AI, and real-time full-stack systems.
IndiaWhat I'm looking for
At Microsoft, I built an automated Azure EV2 rollout-generation framework for a distributed internal deployment system, reducing manual deployment work by 15x.
I also created a workload-scoped Service Model generator that cut new-workload onboarding from two weeks to two days and reduced deployment artifacts by 98%. I delivered the solution through five merged production pull requests and built 77 automated unit tests with mutation testing as a build-blocking quality gate.
At IIT Mandi, I developed a real-time drone-video AGV detection system using Detectron2 and a custom CSPDarkNet-53 backbone. It achieved 10% lower latency with only a 3% reduction in mAP versus stable baselines.
I build AI products including Mockviews, a real-time AI mock interview platform, Renergy, an AWS-based energy forecasting system, and Imagin3D, a multi-view 3D reconstruction app. I'm pursuing a B.Tech in Computer Science Engineering at NIT Delhi.
Experience
Work history, roles, and key accomplishments
Designed and shipped an automated Azure EV2 rollout-generation framework, reducing manual deployment work by 15x and cutting new-workload onboarding time from 2 weeks to 2 days. Developed 77 automated unit tests with mutation testing as a quality gate, delivering through 5 merged production pull requests.
Research Intern
Indian Institute of Technology Mandi
Jun 2025 - Jul 2025 (1 month)
Developed an Autonomous Ground Vehicle (AGV) detection system using real-time drone video with Detectron2 and a custom CSPDarkNet-53 backbone, achieving 10% lower latency with only 3% reduced mAP compared to stable baselines.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology Delhi
Bachelor of Technology, Computer Science Engineering
2023 -
Grade: 9.38/10
Activities and societies: Relevant Coursework: DSA, OOD, Operating Systems, DBMS, Computer Networks, Distributed Systems
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 9.38/10, expected to graduate in May 2027.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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