Technical Arsenal
Core: Distributed Systems, Event-Driven Architecture, High-Throughput Automation
Languages: Python (Django, Flask, Scrapy), JavaScript (Node.js)
Infrastructure: Docker, Kubernetes, AWS, Celery, Redis, PostgreSQL
Focus: Adversarial Engineering, Anti-Bot Evasion, Forensic Intelligence
Experience
Founder & Lead Architect | XLeadScraper (Hydra)
2024 - Present
- Architected a distributed data pipeline processing 2M+ requests/day across 40+ countries.
- Engineered Hydra: A scraping engine with auto-healing, IP rotation (1,200+ proxies), and behavioral mimicry to bypass enterprise-grade anti-bot systems (Twitter/X).
- Scaled revenue to $500k ARR in 6 months with 100% automated fulfillment.
- Outcome: Acquired 300+ enterprise customers before pivoting due to regulatory constraints (C&D).
Systems Engineer | Exit Protocols
2025 - Present
- Built Exit Protocol, a DeFi forensic intelligence platform for divorce litigation.
- Automated the Lowest Intermediate Balance Rule (LIBR) using Python & SQL, reducing 4-week forensic audits to 3 minutes.
- Integrated Mistral & Gemini AI for OCR and transaction classification of chaotic bank PDF statements.
- Stack: Django, Mistral AI, Postgres, Docker.
Projects
Exit Protocol: Wealth Preservation Intelligence
Forensic FinTech
- Challenge: Automating legally admissible financial tracing from messy PDF statements.
- Solution: Containerized AI pipeline with cryptographic logging (SHA-256) for chain-of-custody.
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**View Live Case Study**
Hydra System (XLeadScraper)
Adversarial Data Infrastructure
- Challenge: Scraping Twitter/X at scale without triggering ban hammers.
- Solution: A distributed “Hydra-headed” architecture decoupled from single points of failure.
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**View Live Case Study**
Education
National Institute of Technology (NIT) Mizoram Bachelor of Technology in Electronics & Communication (2017–2019)
- Left prior to degree conferral to pursue practical engineering challenges in the high-growth SaaS sector.