$50K+ Contracts | $150K+ Value Delivered | 8+ Production Systems | 92% Best Time Reduction
Looking for: AI Engineer | Automation Engineer | Founding Engineer (Remote)
AI/ML
Backend & Infrastructure
Frontend
Automation & Scraping
Integrations & APIs
Production systems I've built for clients. Real problems, real scale, real results.
A Singapore-based media company was spending 60+ minutes per video on manual quality control. Editors would scrub through footage frame-by-frame, checking subtitles for spelling errors, timing issues, and formatting problems.
I built a multi-layer AI pipeline that automates the entire process.
The result: 60+ minute reviews now take 5-10 minutes. Cost per video dropped to $0.48. The system uses PySceneDetect for intelligent frame sampling, Tesseract as a cost-saving pre-filter, Cloud Vision API for OCR, and Gemini 2.5 Pro for context-aware spell checking.
Same client, different problem. They needed consistent, high-quality social media content at scale - but LLM outputs were unpredictable. One prompt would nail the brand voice, the next would completely miss.
I engineered a 4-stage pipeline with 500+ line structured prompts and validation at each step.
The result: Production-grade content generation with consistent brand voice. Each stage validates the previous output before proceeding, catching errors early. Airtable integration for content management and scheduling.
A US-based marketing agency was drowning in admin work. Sales reps spent more time logging calls and updating CRM than actually selling. Follow-ups were falling through the cracks. Revenue was being left on the table.
I built an automation layer that eliminated 99% of the admin overhead.
The result: $15K in recovered revenue from better follow-up. 14,000 leads enriched with AI. Automated call logging, transcription, lead scoring, and pipeline management. CRM integration with GoHighLevel.
A major automotive manufacturer needed complete visibility into their factory floor operations. Forklifts, AGVs, and equipment were tracked manually with whiteboards and radio calls. They wanted real-time digital twins.
I built the end-to-end IoT integration layer.
The result: 10Hz sensor streaming with sub-second dashboard updates. 100% fleet visibility across all factory areas. 99.7% uptime. MQTT protocol handling thousands of messages per second.
A research organization in India was manually collecting data from thousands of websites. The process took weeks, cost a fortune in labor, and was error-prone. They needed scale.
I built a distributed scraping system on AWS.
The result: $136K annual savings. 1M+ records processed. 87.5% reduction in manual work. Custom ML model achieving 97% CAPTCHA solve rate. Serverless architecture that scales automatically.
The same US marketing agency needed to enrich their lead database. Raw lists with just names and companies needed to become actionable intelligence - job titles, company sizes, contact info, personalization hooks.
I built a high-throughput enrichment pipeline.
The result: 14,260 businesses processed with 99.98% completion rate. 100 concurrent browser connections via Crawl4AI. Gemini 2.5 Flash for intelligent data parsing. Cost: less than $0.001 per lead.
Before you can enrich a lead, you need their LinkedIn profile. But matching "John Smith at Acme Corp" to the right profile among thousands of John Smiths is non-trivial. Manual research was eating hours.
I built an automated profile discovery system.
The result: 96% match accuracy using multi-signal verification. Processes thousands of leads per hour. Handles edge cases like name variations, company changes, and multiple profiles.
Content marketing requires consistent publishing. But writing, formatting, scheduling, and cross-posting blog content is tedious. The agency needed to scale content without scaling headcount.
I built a Make.com workflow that automates the entire pipeline.
The result: End-to-end blog automation from ideation to publishing. AI-generated drafts, human review workflow, automatic formatting, scheduled posting, and social media cross-posting.
A logistics company in India needed to understand their operations data. Thousands of trips, hundreds of vehicles, complex route networks - but no way to ask questions without building custom reports.
I built an AI agent that lets them query their data in natural language.
The result: Natural language queries like "Show me all delayed trips last week" return instant results. SQL generation with Gemini. Dashboard integration. No more waiting for IT to build reports.
Personal projects and portfolio pieces. Built to learn, built to demonstrate, built to ship.
Screen time is destroying our eyes. The average knowledge worker blinks 66% less when staring at screens. Dry eyes, headaches, fatigue - it's an epidemic hiding in plain sight.
I built Lumina - a production-grade desktop app that uses computer vision to monitor eye health and prevent strain.
The system: 17 detection modules using MediaPipe for real-time blink detection, posture monitoring, and drowsiness alerts. 3-window Electron architecture (hub, status bar, overlay). Offline-first with SQLite and cloud sync to Supabase. Multi-tenant admin dashboard for enterprise deployment. Turborepo monorepo with 29K+ lines of TypeScript.
Thousands of vessels disable their AIS transponders daily to evade detection - smugglers, sanctions violators, illegal fishing operations. Traditional maritime surveillance relies on AIS alone, creating dangerous blind spots.
I built a multi-sensor fusion system that detects these "dark ships."
The system: Real-time fusion of AIS, radar, satellite, and drone feeds. Gated GNN with Hungarian algorithm for track correlation. Hybrid RAG architecture for natural language queries ("Show me vessels that went dark near the Strait of Hormuz"). 3D globe visualization tracking 500+ vessels at 60fps.
Most portfolios are static pages. You scroll, you read, you leave. I wanted something different - a portfolio you could actually talk to.
The system: Interactive portfolio powered by Gemini 2.5 Flash with streaming tool calls. 5 custom tools with Zod validation (search projects, filter by tech, get contact info). Hybrid context architecture achieving 70% token reduction. Multi-layer security blocking 26 attack vectors. Cloudflare Turnstile integration.
Building e-commerce from scratch teaches you everything - payments, inventory, real-time updates, customer support, admin dashboards. I built EggyPro as a complete production-ready platform.
The system: Full-stack e-commerce with Stripe payments, real-time inventory monitoring, and AI-powered customer support. Gemini chatbot handling 70% of customer queries automatically. Real-time admin dashboard with order management and analytics.
Fitness apps give you workout plans. But they don't adapt. They don't learn. They don't understand that you're exhausted from yesterday's session or that your shoulder is bothering you.
I built Gymzy to be smarter.
The system: AI-powered workout generation that adapts to your feedback. Progress tracking with intelligent recommendations. Exercise library with form guides. User authentication with Supabase.
Applying to jobs manually is tedious. Repetitive forms, the same answers, tracking dozens of applications across spreadsheets. I built a personal productivity tool to streamline the process.
The system: Browser automation for form filling using Chrome DevTools Protocol. Pipeline tracking with CSV exports. Built for personal use to manage high-volume job searches efficiently.
OCR accuracy drops dramatically on low-quality scans. Faded text, noise, skewed pages - traditional preprocessing helps, but not enough. I explored deep learning approaches.
The system: Hybrid ResNet + U-Net architecture for document image enhancement. Skip connections for preserving fine details. Trained on synthetic degradation pipeline. Improves downstream OCR accuracy on low-quality scans.
| Company | Role | Location |
|---|---|---|
| CrazyTok Media | Founding Engineer | Singapore (Remote) |
| RSL Media Hub | AI Automation Engineer | USA (Contract) |
| Fortune 500 Automotive | Integration Engineer | India (Remote) |
| MRUC | Software Lead | India (Contract) |
Education: B.Tech CS, IIIT Pune (8.14 CGPA)
For Startups: I ship production systems in days, not months. Cost optimization from day one ($0.48/video vs $5+ industry standard).
At Scale: Systems processing 1M+ records. Real-time streaming at 10Hz. 99.7%+ uptime. I've done it.
AI/ML: Production LLM experience with multi-model architectures. RAG, agents, embeddings, fine-tuning. Not just prototypes - systems that handle real traffic.