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Saksham PradhanSP
Open to opportunities

Saksham Pradhan

@sakshampradhan

Backend & Platform Engineer building resilient Go microservices and agent-ready systems.

India
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What I'm looking for

I’m looking for a role where I can build resilient Go microservices on event-driven payments/platform systems, strengthen observability and on-call debugging, and expand AI agent-readiness (RAG/vector search) to automate incident resolution.

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

Aditya Birla Group logoAG

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 logoLU

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.

AA

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%.

AA

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%.

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