Available to hire
Hi, I’m Venkata Nikhil Kundam, a software engineer with 3+ years of backend and distributed systems experience. I enjoy building scalable microservices, optimizing performance, and delivering reliable systems using Node.js, Spring Boot, Python, and FastAPI. I’m passionate about AI-enabled platforms and data pipelines, and I love turning complex problems into robust, maintainable solutions.
I’m seeking to apply my full-stack capabilities to frontend-focused web applications, bridging backend systems with delightful user experiences. I value clean design, thoughtful architecture, and collaborating across teams to ship features that scale.
Language
English
Advanced
Work Experience
Software Engineer III - Backend, Distributed Systems & AI Platform at American Express (via Atos Syntel)
March 1, 2024 - September 1, 2025Architected high-performance LLM inference services using FastAPI, LangChain, and OpenAI/Bedrock with evaluation pipelines, vector search, and guardrails, reducing agent case-handling load by ~12%. Optimized Spring Boot and FastAPI microservices with Redis caching, asynchronous Kafka consumers, batching, and tuned SQL/NoSQL strategies, reducing p95 latency by 28% and increasing throughput by 20%. Strengthened platform stability via Docker, AWS ECS, Terraform IaC, and observability tooling, lowering incident volume by 30%. Engineered idempotent workflows with schema evolution, circuit breakers, retries, and rate-limiting mechanisms that reduced downtime by 30% and increased system reliability for critical services. Led performance tuning across JVM and Python services using profiling, instrumentation, flame graphs, and controlled canary deploy-ments. Integrated LLM-based inference and decision layers into servicing and transaction systems, ensuring auditability, compliance alignment, an
Software Engineer at V3Tech Solutions
September 1, 2023 - February 1, 2024Developed onboarding and campaign microservices using Spring Boot, Node.js, PostgreSQL, and Snowflake with typed SDK clients, which significantly decreased partner integration time and improved project delivery timeframes. Built dbt models, Airflow DAGs, and BI pipelines, reducing manual PM/Ops reporting workload 40%. Enhanced API reliability using contract tests, CI/CD templates, caching, and SOLID-consistent patterns, leading to fewer incidents and better system performance.
Software Engineer (Academic-Industry Project) at BlackBucks Group
June 1, 2019 - April 1, 2020Built a KYC processing platform using Spring Boot, React.js, Next.js, Redis, and MongoDB with RBAC, checksum validation, and optimized reads/writes for high-volume workflows. Implemented WebSocket-driven optimistic UI models, increasing processing throughput and raising on-time close rates by about 15%.
Instructional Assistant at University of Houston
December 1, 2021 - May 1, 2023Enhanced Blackboard platform uptime + rendering efficiency using PHP/HTML/CSS, increasing student engagement by approximately 25%.
Education
M.S. in Computer Science at University of Houston
January 11, 2030 - January 1, 2023Qualifications
Big Data Analytics (Dell EMC Certification)
January 11, 2030 - December 8, 2025AWS Machine Learning: Associate
January 11, 2030 - December 8, 2025Industry Experience
Software & Internet
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