Dharmender Kumar

+•• ••••• •••••••••••@•••••.com

Full Stack Developer · Fourbrick Technology Pvt. Ltd. · 3.1 yrs

I am a Full Stack Developer driven by a strong ambition to achieve mastery in my craft, constantly fueled by curiosity to explore and logically solve complex challenges. With a pragmatic and flexible approach, I am dedicated to continuous learning and delivering innovative, high-quality solutions.

  • Noida
  • Open to Delhi · Noida · Gurgaon
  • On-site, Hybrid, Remote

Ask about Dharmender

Skills

Claimed

Algorithm VisualizationRapid LearningFront-end DevelopmentBackend DevelopmentFull-stack DevelopmentSoftware Quality AssuranceTechnical DocumentationWork Planning and PrioritizationAI Agent DevelopmentExplaining Technical ConceptsProblem SolvingTutoring

Proof of Experience

Full Stack Developer

Fourbrick Technology Pvt. Ltd. · Feb 2024 – Present

  • Developed scalable NestJS microservices and RESTful APIs for core reinsurance workflows across four user roles, serving 10K+ concurrent users.
  • Built reusable React.js and TypeScript dashboard components, reducing frontend development time by 20%.
  • Built an LLM-powered document extraction workflow to fetch and structure data from user-uploaded documents for KYC verification.
  • Implemented Apache Kafka event-driven architecture for asynchronous processing, improving system reliability.
  • Integrated Redis caching, cutting average data retrieval latency by 35%.
  • Optimized PostgreSQL queries and data models, improving query performance by 35%.
  • Secured services with JWT authentication, RBAC, and middleware; containerized services with Docker.
  • Built reusable React.js components with Redux Toolkit and Context API for consistent, maintainable UI behavior.
  • Designed RESTful APIs with Python and FastAPI, adding middleware and query optimization that improved API response time by 25%.
  • Refactored MongoDB queries and created indexes, improving data retrieval performance by 40%.
  • Implemented JWT authentication and RBAC; applied FastAPI best practices that improved backend throughput by 30%.
  • Designed Generative AI applications using LLMs, prompt engineering, LangChain, and LangGraph.
  • Built Agentic AI workflows with AI agents, tool calling, structured outputs (Pydantic, TypedDict), and stateful execution.
  • Implemented Retrieval-Augmented Generation (RAG) and Vectorless RAG to ground LLM responses in retrieved context.
  • Applied LLM evaluation methods to assess response quality, relevance, accuracy, and consistency.
  • Implemented LLM guardrails and middleware to control outputs, validate requests and responses, and improve safety.
  • Integrated Python AI services with backend REST APIs and middleware; explored LLM fine-tuning.

Teaching Assistant

Coding Ninjas · Oct 2022 – Feb 2023

  • Problem Solving

Proof-of-Work

No completed sessions yet. Anything Dharmender finishes shows up here with the evidence behind it.

Proof of Education

M.Tech, Computer Science and Engineering

J.C. Bose University, Faridabad · 2021 — 2023

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