Danish Khan

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building production-grade GenAI systems.
  • Achieved 95% alignment in multi-agent systems.
  • Reduced irrelevant document retrieval by 35%.
Stackforce AI infers this person is a SaaS-focused GenAI Engineer with expertise in AI orchestration and automation.

Contact

Skills

Core Skills

Agentic Ai SystemsRag PipelinesFrontend DevelopmentReactSoftware Development

Other Skills

ARIAAWS BedrockAgile SDLCChain-of-Thought promptingChromaDBClaudeDockerFastAPIJestLangGraphLangsmithLlamaMilvusPineconeRAG pipeline

About

I’m a GenAI & Agentic AI Engineer with 4.5+ years of experience building production-grade software systems and 2+ years focused on LLM-powered applications, RAG pipelines, and multi-agent workflows. At Mphasis, I design and build stateful agentic systems using LangGraph and LangChain to automate complex workflows such as Agile backlog generation, requirement analysis, and multi-step planning. I specialize in: • Agentic AI systems (LangGraph, tool-calling, memory, reflection loops) • RAG pipelines (hybrid search, metadata filtering, vector databases) • LLM orchestration (OpenAI, Claude, Llama, AWS Bedrock) • Backend APIs for AI systems (Python, FastAPI, Docker) Some real-world impact: • Reduced irrelevant document retrieval by ~35% using hybrid RAG • Improved output consistency by ~40% using stateful memory and reflection loops • Built multi-agent systems achieving ~95% alignment with product specifications Tech I work with daily: Python, FastAPI, LangGraph, LangChain, LlamaIndex, OpenAI, Claude, Pinecone, Milvus, ChromaDB, Docker I focus on building reliable, debuggable, production-grade GenAI systems — not just demos. Currently open to roles: GenAI Engineer, Agentic AI Engineer, LLM Engineer, Applied AI Engineer

Experience

4 yrs 8 mos
Total Experience
3 yrs 4 mos
Average Tenure
4 yrs 8 mos
Current Experience

Newton school

2 roles

Coding Mentor

Aug 2022Dec 2023 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

Mock Interviewer

Dec 2021Dec 2023 · 2 yrs · Bangalore Urban, Karnataka, India

  • Experienced Mock Interviewer at Newton School, dedicated to cultivating technical excellence in aspiring developers. Specialized in conducting realistic mock interviews, evaluating coding proficiency, and providing constructive feedback. Passionate about guiding talent to succeed in real-world technical interviews

Mphasis

2 roles

Senior Software Engineer

Promoted

Sep 2021Present · 4 yrs 8 mos

  • Architected a multi-agent orchestration system using LangGraph to automate Agile SDLC workflows, enabling autonomous generation of Epics, Features, and User Stories with 95% alignment to product requirements.
  • Built an advanced RAG pipeline with metadata filtering and hybrid search (semantic + keyword), reducing irrelevant retrieval by 35% across enterprise documents.
  • Implemented stateful agent workflows with long-term memory (checkpointers) and tool-calling to maintain context across multi-step planning sessions, improving consistency by 40%.
  • Designed self-correcting reflection loops where agents validate and retry their own outputs, significantly reducing hallucinations in production flows.
  • Optimized LLM reasoning using Chain-of-Thought prompting and external tool validation against business rules and guidelines.
  • Built human-in-the-loop feedback systems allowing stakeholders to refine AI-generated outputs using natural language.
LangGraphAgile SDLCRAG pipelinestateful agent workflowsmetadata filteringtool-calling+6

Associate Software Engineer

Sep 2021May 2023 · 1 yr 8 mos

  • Built a modular React UI library (50+ components) using Storybook and TypeScript, reducing development time and technical debt by 25%.
  • Implemented automated testing strategy using Jest and React Testing Library, reaching 85% coverage and reducing production issues by 20%.
  • Improved accessibility (WCAG 2.1) using semantic HTML and ARIA, improving audit scores by 40%.
  • Optimized performance using code splitting and lazy loading, reducing bundle size by 15% and improving Core Web Vitals.
  • Improved state management using Redux Toolkit, reducing redundant API calls and improving data consistency.
ReactTypeScriptJestReact Testing LibraryWCAG 2.1semantic HTML+3

Education

Newton School

Full Stack web Developer — Full Stack web Developement

Mar 2021Oct 2021

SVITS

Bachelor of Technology - BTech

Jan 2016Jan 2020

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