E Sai Krishna

Engineering Lead · .NET & Distributed Systems · Agentic AI & RAG · AI-Native SDLC · 8+ Years

AWS Certified Developer – Associate · Claude Certified Architect

Engineering Lead with 8+ years of experience in C#/.NET, Python, and cloud architectures, specializing over the past two years in embedding AI-driven software engineering across the full SDLC. At EPAM, established AI-native practices by deploying Claude Code with tailored plugins, skills, and slash commands. Delivered production-grade RAG and LLM API solutions verified through RAGAS frameworks. Standardized DORA-aligned metrics, cutting lead time from 2 weeks to 3 days, reducing MTTR from 3 days to 0.5 days, decreasing job failures by 30%, and lowering microservices migration errors by 40%. Mentored 16 engineers.

Experience

EPAM Systems — Hyderabad

July 2024 – October 2026

Team Lead – Senior Software Engineer AI SDLC Enablement, Agentic Automation & System Modernisation

  • Led enterprise adoption of AI-augmented software development as the team standard — rolled out Claude Code with custom plugins, skills and slash commands, ran hands-on enablement on agentic coding workflows, and drove the team to AI Maturity Level 3, improving developer productivity by ~25%.
  • Designed tool schemas and abstraction layers and deployed agentic SDLC automation agents for code generation, code review and test coverage using agent SDKs. Drove migration of 5+ legacy applications to .NET Core, using the AI SDLC pipeline to automate component-level conversion and improving reliability by ~35%.
  • Owned the technical harness that validated AI-generated code: quality gates in GitHub Actions CI/CD (deployment time cut from hours to under 20 minutes), Verify end-to-end integration tests, editorconfig and static-analysis standards, build verification, Flyway migration checks in CI/Git hooks, secrets-guard hooks, and agent API observability on CloudWatch distributed tracing.
  • Mentored 11 senior engineers & QA in .NET, system design and AI-native programming practices; partnered with the client architect and lead on AWS evaluation, cloud-native API modernisation and AI tooling strategy.

Team Lead – Software Engineering Service Health Assessment — System Modernisation

  • Built a RAG pipeline (Pinecone) grounding a tax agent in the internal knowledge base and documentation, enabling accurate Q&A and change-tracking — part of the GenAI hackathon solution, productionised as an internal Q&A tool for business analysts.
  • Designed a Workflow Orchestration Platform (Hangfire) replacing the legacy batch system and executing thousands of jobs daily — retry policies, failure containment, idempotency guarantees and CloudWatch observability; reduced job failure rate 30% and eliminated manual intervention in 90% of scenarios. Added WebSocket notifications (25% server load reduction, sub-500ms UX).
  • Led RCA on a WCF production outage through full recovery.

Senior Software Engineer Corporate Tax Platform

  • Authored the REST API modernisation design document for services handling 50K–100K requests/day — deterministic contracts, versioning, schema consistency and observability requirements targeting ~50% performance improvement; adopted as the team architectural standard.
  • Performance profiling reduced page load 40% and AWS RDS + Lambda optimisation achieved 20% cost reduction.

ValueMomentum — Hyderabad

September 2019 – June 2024

Software Engineer / Senior Software Engineer InsurTech Platform (Property & Casualty Insurance)

  • Built RESTful and GraphQL APIs for Socotra PAS; automated quote pricing engine in under 5 seconds (80% manual review reduction); Stripe Payment Gateway integration; optimised document generation by 5+ seconds/document.
  • Proposed and implemented AWS infrastructure re-architecture resolving bulk quote conversion failures — 60% revenue increase within two quarters; designed DynamoDB-backed APIs with idempotency guarantees, rate controls, and tenant boundary enforcement at 99.9% availability SLA.
  • Orchestrated monolith-to-microservices migration with event-driven pub-sub (SNS/SQS) — 40% error reduction.
  • Introduced GitHub Actions CI/CD across 5 services — 2 weeks → 3 days.
  • Automated batch job system saving 104 engineer-days/year; mentored 5 engineers (2 promoted to Senior).

HCLTech — Product Support Engineer, Google DFP

May 2017 – October 2017
  • Tier-2 technical support for enterprise clients (Microsoft, Motorola, Samsung, Apple); JavaScript · HTML · CSS.

Tata Consultancy Services — Test Engineer, Contract

January 2016 – October 2016
  • Automated regression suites with Selenium and NUnit in C#/.NET; regression coverage improved 60%.

Core Competencies

Backend & API Engineering

Languages & Frameworks
C#, .NET, Python
API Design & Protocols
RESTful API Design & Architecture, GraphQL, WebSockets, Event-Driven Communication, Microservices
Architecture & Patterns
Distributed System Design, OOP, SOLID Principles, Design Patterns, Saga Pattern, Idempotency, Rate Controls

Data & Persistence

Relational & NoSQL
SQL Server, PostgreSQL, DynamoDB, AWS RDS, Flyway Migrations, Stored Procedures & Functions
Optimization & Search
Schema Design, Query Optimization, Performance Profiling, Vector Databases (Pinecone, ChromaDB), Embeddings & Indexing

Cloud & Platform

Cloud Providers
AWS (Lambda, ECS, EC2, API Gateway, DynamoDB, RDS, S3, SNS/SQS, CloudWatch), Azure (Function Apps, Logic Apps, Service Bus, Blob Storage, Application Insights)
DevOps & Observability
Docker, Serverless, Cloud-Native Patterns, Distributed Tracing, Datadog APM

Applied AI / LLM Engineering

LLM Integration & RAG
Claude/Anthropic, OpenAI, Azure OpenAI, RAG Pipelines, Chunking, Retrieval Design, Grounding, RAGAS Evaluations
Frameworks & Guardrails
Prompt Engineering, Context Engineering, Guardrails, LangChain, LangGraph, Generative AI Delivery

Agentic Systems & Tooling

Agent Workflows
Agentic Workflows, AI Agents, Orchestrators, Subagents, Multi-Agent Systems
SDKs & Automation
Agent SDKs, Tool Calling, Tool Schemas & Abstraction Layers, Model Context Protocol (MCP), Agent-Ready APIs, Autonomous Code-Generation, Review & Test Agents, Headless Automation, Agent Observability & Distributed Tracing

Engineering Standards & Delivery

CI/CD & Testing
GitHub Actions CI/CD, Git, Build Verification, xUnit, NUnit, Verify, Selenium, Static Analysis, EditorConfig, Strict Contracts
Quality & Enablement
Quality Gates on AI-Generated Code, SAST/SCA, Secrets-Guard Hooks, IP & Code Privacy, AI-Assisted Coding Rollout (Claude Code, GitHub Copilot, Cursor), Adoption Metrics, DORA Metrics, Mentoring & Stakeholder Alignment

Certifications

Key Achievements & Recognition

Education

Bachelor of Technology — Electronics & Communications

Keshav Memorial Institute of Technology, JNTU Hyderabad · 2015

Let's Connect

Open to new opportunities, collaborations, and interesting projects — feel free to reach out.