Building AI systems that solve real business problems, not just impressive demos.
I am an AI Systems Engineer with 5+ years of experience designing, building, and deploying production-grade AI solutions that help organizations automate complex workflows, unlock business insights, and create intelligent products at scale.
Throughout my career, I have worked across the entire AI lifecycle — from solution architecture and applied research to high-throughput deployment, optimization, and scaling. I focus on turning ambitious technical ideas into reliable, resilient AI systems that deliver measurable business value.
- Delivery & Track Record: Delivered 20+ AI projects across startups and international teams, building platforms that improved operational efficiency by up to 70%.
- Core Engineering Domains: Architected production-ready systems across Agentic AI, Multi-Agent Orchestration, Enterprise RAG, Computer Vision, NLP, Intelligent Analytics, and Cloud MLOps.
- System Reliability: Engineered distributed AI microservices handling live SQL integration, multimodal inspection, and high-concurrency LLM inference with 99.9% uptime.
- Engineering Philosophy: Beyond writing code, I focus on designing robust AI architectures, solving complex bottlenecks, and building products people genuinely rely on. The future of AI belongs to reliable, scalable systems that create lasting impact.
| Metric | Achievement | Domain / Scope |
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| Production Experience | 5+ Years | AI Systems Engineering, Solution Architecture, Applied ML |
| Platforms Delivered | 20+ Solutions | Startups, Enterprises, and Global Consulting Engagements |
| Operational Impact | Up to 70% Efficiency Gain | Automated Review, Agentic Workflows, Insight Generation |
| System Reliability | 99.9% Production Uptime | High-Throughput FastAPI, AWS Bedrock, GCP Vertex AI |
| Global AI Competitions | 1st Place Champion | Rocket Capital Global AI Quantitative Forecasting (5,000+ Participants) |
| Open Source Reach | 7,000+ Global Downloads | Published Super-Resolution Python Packages |
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Generative AI / Computer Vision Virtual try-on platform combining diffusion inpainting with facial and hand keypoint tracking, OpenCV spatial alignment, and memory optimization for photorealistic real-time fitting.
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Multi-Agent Systems / Quantitative Finance Autonomous multi-modal financial agent leveraging Google Gemini and agentic orchestration to ingest live market feeds, execute natural language analytical queries, and generate investment dossiers.
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Computer Vision / GANs (7,000+ Downloads) Published open-source library delivering super-resolution and facial feature restoration in 3 lines of code with all-time global developer downloads.
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Agentic Orchestration / Multimodal Ingestion End-to-end conversational agent framework managing user workflows from multi-source extraction (PDFs, video feeds, web URLs) to semantic reasoning and automated action dispatch.
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- 1st Place Winner — Rocket Capital Global AI Quantitative Forecasting Challenge (Ranked #1 out of 5,000+ international participants)
- Top 10 Finalist & Cash Prize — Citi Bank Global AI Hackathon
- Top 8 Finalist — Accenture AI Hackathon (Out of 1,200+ engineering teams)
- Stanford University — Machine Learning Specialization
- IBM — Deep Learning & PyTorch Professional Certification
I am always open to AI consulting, product development, technical leadership, and collaborations on ambitious AI products. If you are building something with AI, let us connect.
