Vikash Kumar

Backend & GenAI Developer

Bangalore, India 2+ yrs exp 85 · Excellent

About

Backend and GenAI Engineer with ~3 years of experience designing scalable microservices, Agentic AI workflows, and hybrid search platforms. Proven record of shipping LLM inference pipelines from prototype to production — delivering ~40% latency improvement, ~30% cost reduction, and enterprise-grade reliability. Multiple company award recipient for ownership, cross-functional collaboration, and on-time delivery under tight deadlines.

Skills & Expertise (35)

HuggingFace Transformers Advanced

8.5/10

Years Exp

AWS Advanced

8.5/10

Years Exp

Kubernetes Advanced

8.5/10

Years Exp

LLMs Advanced

8.4/10

Years Exp

Python Advanced

8.2/10

Years Exp

Docker Advanced

8.0/10

Years Exp

OpenAI API Advanced

8.0/10

Years Exp

Microservices Architecture Advanced

8.0/10

Years Exp

Prompt Engineering Advanced

7.8/10

Years Exp

REST APIs Advanced

7.8/10

Years Exp

Cd pipelines Advanced

7.6/10

Years Exp

FAISS Advanced

7.6/10

Years Exp

FastAPI Advanced

7.4/10

Years Exp

RAG Pipelines Advanced

7.4/10

Years Exp

Vector DB Advanced

7.4/10

Years Exp

Object-Oriented Programming Advanced

7.2/10

Years Exp

Git Advanced

7.2/10

Years Exp

Data Structures & Algorithms Advanced

7.2/10

Years Exp

System Design Advanced

7.2/10

Years Exp

LangChain Advanced

7.2/10

Years Exp

Redis Advanced

7.0/10

Years Exp

agentic AI Advanced

7.0/10

Years Exp

Keycloak Advanced

7.0/10

Years Exp

Azure Active Directory Advanced

7.0/10

Years Exp

Spring Boot Intermediate

6.9/10

Years Exp

Java Intermediate

6.9/10

Years Exp

Postgresql Intermediate

6.8/10

Years Exp

MySql Intermediate

6.8/10

Years Exp

LlamaIndex Intermediate

6.8/10

Years Exp

JavaScript Intermediate

6.7/10

Years Exp

SPARQL Intermediate

6.5/10

Years Exp

Pytest Intermediate

6.5/10

Years Exp

Postman Intermediate

6.5/10

Years Exp

Flask Intermediate

6.3/10

Years Exp

C++ Intermediate

5.8/10

Years Exp

Work Experience

Associate Software Engineer — Backend & GenAI Engineer

Mphasis Pvt Ltd

Aug 2023 - Present

Architected and deployed scalable AI-powered backend microservices via Docker, Kubernetes, and AWS, powering enterprise content management and intelligent search for the NeoZeta platform. Built a semantic caching layer (FAISS + Redis) cutting redundant LLM API calls by ~40%, improving response time by ~30%, and reducing infrastructure cost at scale. Engineered a FAISS hybrid search pipeline (vector + lexical) delivering sub-second semantic retrieval; architected Global Search over files and metadata using Vertex AI Embeddings, RDF4J & SPARQL. Optimized LLM inference via caching, batching, and model-routing — achieving ~30% cost reduction and ~40% latency improvement in production. Migrated Keycloak to SDK-based architecture; integrated OIDC with Azure Active Directory for enterprise SSO; automated CI/CD pipelines, boosting delivery velocity by 15–20%.