Saksham Pradhan
@sakshampradhan
Backend & Platform Engineer building resilient Go microservices and agent-ready systems.
What I'm looking for
I’m a Backend & Platform Engineer at Razorpay on the Payments Platform (Refunds & Settlements), where I build reliable Go microservices and event-driven systems with a focus on resilience and observability. I enjoy turning production pain into durable engineering—especially around alerting, debugging flows, and operational reliability.
I lead AI agent-readiness work that makes systems easier for engineers (and agents) to operate. I raised Settlements’ Agent Readiness Score from 36 to 52/58 by adding CI score gates and improving service documentation, and I built Claude Code agentic setup skills for 4 services. I also integrated the Refunds service with Viveka by authoring YAML runbooks synced to a Qdrant vector database for semantic retrieval and AI-assisted on-call debugging.
I also ship platform-grade reliability improvements, like leading Refunds multi-region migration to the V3 Kubernetes pipeline across Mumbai and Singapore using Helm and Spinnaker. I built a retry queue + DLQ for the Transaction Recorder to eliminate silent data loss on transient failures, and I decomposed Settlements routes off an API monolith using Kong Edge and Terraform with dedicated authorization policies. Outside work, I’ve built projects like an AWS Bedrock chatbot (Valobot) and automated Spotify provisioning with Terraform, and I bring a strong fundamentals mindset from 400+ LeetCode problems and cloud/cybersecurity certifications.
Experience
Work history, roles, and key accomplishments
Developed AI-driven data analysis models and optimized LLM outputs to improve performance and scalability.
Built and improved Settlements alerting and bug fixes for the Refunds & Settlements Payments Platform, including proactive monitoring to reduce support escalations. Drove multi-region Refunds resilience and led platform decomposition work.
Summer Intern
Aditya Birla Group
Jun 2024 - Aug 2024 (2 months)
Designed and deployed a workforce-management web application, reducing manpower allocation time. Automated data storage and retrieval using MySQL and improved UI/UX to increase form submission efficiency.
Education
Degrees, certifications, and relevant coursework
Lovely Professional University
Bachelor of Technology (B.Tech), Computer Science & Engineering
2022 -
Grade: CGPA: 8.33
Pursuing a B.Tech in Computer Science & Engineering at Lovely Professional University. Current CGPA is 8.33.
Aditya Birla Public School, Anpara
SSC, Secondary (10th)
2019 - 2021
Grade: 92.6%
Completed SSC (10th) at Aditya Birla Public School, Anpara, with a score of 92.6%.
Aditya Birla Public School, Anpara
HSC, Higher Secondary (10+2)
2019 - 2021
Grade: 90.2%
Completed HSC (10+2) at Aditya Birla Public School, Anpara, with a score of 90.2%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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