I started my engineering journey in an unusual place — civil engineering. While studying structural systems, I found myself more obsessed with the logic behind software than concrete and steel. That curiosity pushed me into full-stack development, backend architecture, and eventually AI automation. Since then, I’ve been building systems that actually solve business problems, not just ship code.

Over the last few years, I’ve built and shipped products for early-stage startups, remote engineering teams, and founders who needed end-to-end engineering. My work spans full-stack web apps, backend-heavy systems, cloud deployments, real-time architectures, and AI-powered automations using tools like n8n, Pinecone, LLMs, and scalable cloud services.

These days, my primary focus is designing and implementing AI-driven backend systems that automate workflows, integrate intelligent agents, and handle scale without falling apart. I enjoy working deeply on architecture, performance, and system reliability — especially in remote teams that value ownership and strong engineering fundamentals.

I’m constantly exploring how AI, cloud, and automation can compress weeks of engineering work into hours, and how thoughtful system design can dramatically speed up product development for companies with distributed teams.

1. Aug 2025 — Present

   AI Software Engineer · ArcReactor

   Contributed to early development of ArcReactor’s behavioral analytics engine, focusing on browser event tracking and AI-assisted data labeling.

   • Implemented the first version of the Chrome-based behavioral recorder, capturing structured user actions and UI state transitions.
   • Designed browser event tracking logic, clicks, sections, viewport states, and normalized data for downstream AI analysis.
   • Built pieces of the AI labeling pipeline using n8n and GPT models, enabling automated insights on user behavior.
   • Collaborated directly with the founder on research spikes and architectural decisions for adaptive automation workflows.
2. Jul 2025 — Aug 2025

   AI Automation Engineer · SkillBytes

   Designed and delivered the automation pipeline behind SkillBytes’ WhatsApp micro-learning system.

   • Engineered a full n8n pipeline that converted PDFs into structured learning units: SkillBytes, quizzes, and summaries.
   • Integrated OpenAI Assistants, DeepSeek, and custom logic to auto-generate educational content.
   • Built webhook-driven delivery flows to push learning modules to the WhatsApp chatbot in real time.
   • Implemented audit logging, review checkpoints, and data storage using Google Sheets and Firebase.
3. Feb 2025 — Jul 2025

   Frontend Engineer · FigLabs AI

   Built and shipped core frontend features for Fig Labs’ AI-powered sales intelligence dashboard.

   • Developed key dashboard modules in Next.js, integrating complex backend APIs into clean, scalable UI flows.
   • Built interactive data-visualization components for AI-generated insights and sales analytics.
   • Collaborated with backend and product teams to deliver the first working version of the platform.
   • Improved component performance and standardized reusable UI patterns across the codebase.
4. Nov 2024 — Jan 2025

   Backend Developer · Bookwwingz

   Developed backend APIs and automation systems powering Bookwwingz’s internal sales dashboard.

   • Built backend APIs using Node.js and Express for dashboard analytics, users, and operational workflows.
   • Developed an automated outreach system that parsed PDF/DOCX contact lists and triggered personalized email sequences.
   • Integrated Gmail, Sheets, Drive, and Maps APIs through Google Cloud Console for automation and data sync.
   • Implemented authentication and session management using Firebase Auth + Firestore.
5. Mar 2024 — Oct 2024

   Project Lead Developer · Shreeva Innovations

   Led multiple client projects across web and mobile stacks, delivering production-ready applications under tight timelines.

   • Delivered end-to-end client projects using Angular, Ionic, Next.js, and AWS, coordinating directly with stakeholders.
   • Built a cross-platform ecosystem that improved internal productivity by 120% across teams.
   • Applied Agile and sprint processes to improve development speed and reduce bottlenecks.
   • Solved frontend and backend issues across stacks, ensuring stable production deployments.
6. Oct 2023 — Mar 2024

   Full Stack Developer · Shreeva Innovations

   Delivered modules across logistics and cross-platform applications using Angular, Ionic, and Firebase.

   • Implemented voucher and shipment management modules for a logistics application.
   • Built admin and customer-facing features across two Ionic mobile apps.
   • Integrated Firebase Firestore and optimized queries for better performance.
   • Collaborated with the team to ship stable builds under tight delivery timelines.
7. Aug 2023 — Aug 2023

   Database Engineer Intern · UP Housing & Development Board

   Worked on database optimization and data modeling for high-performance government applications.

   • Optimized query performance, improving response time by 35% through indexing and schema adjustments.
   • Designed flexible data models for structured and unstructured datasets.
   • Collaborated with the internal engineering team on high-performance data warehouse systems.
8. Mar 2022 — May 2022

   Frontend Developer Intern · Pixel Business

   Developed responsive UI components and improved user experience for web applications.

   • Built responsive, cross-platform interfaces using React, HTML, CSS, JS, and SCSS.
   • Reduced page reload time by ~40% through UI optimization.
   • Improved user satisfaction metrics by implementing better UX patterns.

• View Reddit Lead Engine

  Reddit Lead Engine

  Reddit Lead Engine

  Automated lead extraction and qualification system built using n8n. Scrapes relevant posts from target subreddits, filters using deterministic rule logic, performs multi-layer LLM classification, and stores validated leads into Google Sheets. Includes keyword matching, duplicate detection, automatic scoring, and structured outreach workflow generation.

  • n8n
  • Playwright
  • TypeScript
  • Google Sheets API
  • LLMs

  
• View AI X Auto Thread Agent

  AI X Auto Thread Agent

  AI X Auto Thread Agent

  Autonomous multi-tweet thread generation and publishing system with RAG-powered identity memory and real-time thread continuation. Converts input topics into structured thread JSON, posts sequential tweets with reply chaining, and persists conversation state for automated follow-on replies.

  • n8n
  • Pinecone
  • OpenAI
  • SerpAPI
  • Brave Search API
  • X API
  • TypeScript

  
• View RAG Knowledge Engine

  RAG Knowledge Engine

  RAG Knowledge Engine

  Production-grade RAG backend that ingests PDFs and text, embeds using Gemini, stores vectors in Pinecone, and exposes FastAPI endpoints for semantic search and contextual reasoning. Integrates Anthropic models for long-context responses and streaming chat. Designed for internal knowledge systems, enterprise chatbots, and automation pipelines.

  • FastAPI
  • Python
  • Pinecone
  • Gemini
  • Anthropic
  • RAG
  • LLMs

  
• View AI LinkedIn Auto Posting Agent

  AI LinkedIn Auto Posting Agent

  AI LinkedIn Auto Posting Agent

  Autonomous LinkedIn content generation and auto-publishing system built with multi-agent workflows and RAG memory. Produces context-aware storytelling posts, generates cinematic visual assets, and publishes directly through LinkedIn API. Includes identity-based RAG retrieval, multi-model reasoning, research agents, and asset synchronization.

  • n8n
  • Brave Search API
  • Gemini 2.5 Flash
  • Cohere Rerank
  • TypeScript
  • SerpAPI
  • OpenAI
  • LinkedIn OAuth API
  • Pinecone