Saksham Kumar

Saksham Kumar

LLM / GenAI Engineer

New Delhi, India

Building Full Stack Applications, LLM Application systems at scale.

About

I'm a Software Engineer focused on building scalable, AI‑powered full‑stack applications.

I'm currently a founding engineer at Poplar AI — building an AI social media scheduling platform. I'm also learning Rust and Solana. I'm also building khojai.in — an AI job automation tool that turns job hunting into a conversation.

Recently, I built the official scoring platform for international Yogasana championships at YUGA (JoinYuga) and developed AI agents for B2B travel workflows at ChatDMC.

Writing & Highlights

Stack

Experience

Founding Full‑Stack AI Engineer (Remote)

Full-time/Contract·
  • Building an AI-powered social media scheduling platform as the first engineering hire (US-based, remote).
  • Designed and delivered end-to-end features across Next.js app, Supabase/Postgres, and background agents with Inngest.
  • Integrated OAuth and official APIs for Facebook, Instagram, LinkedIn; implemented media storage on AWS S3.
  • Implemented LangGraph-based agents for scheduling/automation; payments via Polar.
Founding Engineer
Next.js
TypeScript
Supabase
LangGraph
OAuth
Facebook API
Instagram API
LinkedIn API
AWS S3
Inngest
Polar Payments
Remote
US-based

Full-Stack Developer

Internship·
  • Championship Platform Development: Built the official scoring platform for the 2nd Asian Yogasana Sports Championship from scratch using Next.js, serving 16+ countries and 250+ organizations.
  • Frontend Architecture: Developed comprehensive UI from Figma designs including authentication, stores with Zustand, and optimized user interfaces for judges and athletes.
  • Real-time Scoring System: Created live scoring platform used by judges across multiple sections with real-time synchronization and cross-screen functionality.
  • Team Collaboration: Led core development team and mentored later interns, handling fast-paced development and real-time problem solving during live deployments.
  • Backend Integration: Contributed to backend development ensuring rock-solid performance for international championship events.
  • Platform Features: Built championship management, athlete portfolios, rating systems, and analytics dashboards for the Yogasana Universal Grading & Analytics platform.
  • Live Event Support: Provided on-site technical support during international championships, handling real-time issues and ensuring smooth platform operation.
Next.js
TypeScript
Zustand
Real-time
UI/UX

AI Agent Developer

Contract·
  • AI Agent Development: Built end-to-end AI agent called 'Rate DMC' for B2B travel platform using LangGraph and LlamaIndex for intelligent query processing.
  • Full-Stack Implementation: Developed complete frontend to backend solution in Next.js with exact UI implementation from Figma designs.
  • Intelligent Query Processing: Created AI chatbot that retrieves data, makes rate queries, raises queries, and generates quotes for travel agents.
  • B2B Travel Platform: Built AI agent for ChatDMC platform connecting travel agents with Destination Management Companies (DMCs) worldwide.
  • Real-time Communication: Implemented chat-based interface for instant communication between travel agents and DMCs.
  • Document Management: Integrated document uploads, payment management, and booking confirmations within the AI agent system.
  • Multi-Quote System: Developed system allowing travel agents to submit queries and receive competitive quotes from multiple DMCs.
  • Platform Integration: Seamlessly integrated AI agent with existing ChatDMC platform serving 50+ travel agencies.
TypeScript
Python
Node.js
React
Next.js
PostgreSQL
tRPC
Express.js
OpenAI
LLM Orchestration
Prompt Engineering
Docker
Azure

Education

Projects(7)

  • Architected an autonomous, multi-intent AI agent using LangGraph to manage the entire job application lifecycle, from discovery to post-application tracking.
  • Engineered a full-cycle application automation system that identifies actionable jobs (e.g., LinkedIn), queues them in a database, and hands off tasks to a browser extension via secure REST APIs for 'one-click apply' execution.
  • Developed an intelligent application tracking module that uses the Gmail API to scan for replies from companies, leveraging a classification LLM to categorize email responses into statuses like 'Interview Scheduled' or 'Rejected'.
  • Built a multi-stage contact enrichment pipeline using Exa for LinkedIn profile discovery and the Prospeo API for email verification to find key decision-makers at target companies.
  • Expanded the real-time data ingestion pipeline to over 20 sources, adding LinkedIn Jobs API and integrating advanced browser automation with Hyperbrowser/Puppeteer for complex data extraction.
LangGraph
Node.js
TypeScript
Express.js
Microservices
Google Gemini
Groq
OpenAI
Supabase
PostgreSQL
Redis
AWS S3
Docker
Kubernetes
Gmail API
Exa API
Prospeo API
Puppeteer
Hyperbrowser SDK

GitMind Screenshot
  • GitMind indexes your repositories, connects the dots, and provides instant, accurate answers to your code-related questions.
RAG
LangChain
Vercel AI SDK
tRPC
Next.js
Tailwind CSS
Prisma ORM
FireBase
PostgreSQL
Next Auth
Clerk
Octokit

Honors & Awards(2)