I embed with teams and ship production AI — LLM systems, agentic pipelines, and full-stack platforms that go from whiteboard to deployed in weeks, not quarters.
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Not slideware — running systems. I take AI from a rough idea to something your team logs into every day.
I embed with your team, sit inside the real workflow, and own the problem end-to-end — scoping, building, deploying, and iterating on-site until the AI actually sticks in production.
RAG pipelines grounded in your data, multi-agent orchestration, LoRA / DreamBooth fine-tuning, and multi-provider routing across Gemini, GPT-4o and Claude — with eval loops that keep outputs honest.
Multi-tenant products with React 19 + FastAPI + Supabase — auth & RBAC, background jobs on Celery/Redis, and Dockerized deployments behind Nginx. The whole platform, not just the model.
An engineer who likes being where the problem lives. I started in research at Samsung R&D (SRI-B) — building a Video Q&A chatbot with 96% transcript accuracy and leading a platform-agnostic Stable Diffusion pipeline that earned the Outstanding & Excellence Awards.
Today at Trilliant Digital I work as a Forward Deployed Engineer — embedded with client account teams, shipping a multi-tenant AI operations platform (React 19 · FastAPI · Supabase · Celery) and the LLM pipelines behind it. Published at Springer Nature (SmartCom 2025) along the way.
Python
TypeScript
React 19
FastAPI
Supabase
PostgreSQL
Docker
Redis
Celery
LangChain
PyTorch
TensorFlow
HuggingFace
OpenAI
Gemini
N8N
GCP
Git
From research benches at Samsung R&D to forward-deployed client work at Trilliant Digital.
The kind of thing "forward deployed" actually means — I designed, built and operate this in production for client pods.
A multi-tenant operations platform for agency pods and client accounts: paste a meeting transcript, and an LLM pipeline extracts action items, suggests assignees, and writes the minutes-of-meeting summary — flowing into task boards, workload analytics, role-based governance, and billing scorecards. Every layer below is mine, from the React glass UI to the Celery reminder jobs.
X-Access-Token rotation handled inside one fetch wrapper.Production AI systems, research implementations and open-source builds across LLMs, agents and ML.
Multi-agent pharmaceutical research platform
A production-grade multi-agent AI platform built on Google Gemini that finds new therapeutic uses for approved medications — specialist agents mine clinical trials, patents and market data into evidence-based drug-repurposing reports.
Real-time, context-aware code suggestions for developers — understands surrounding code and generates accurate completions and explanations.
An AI agent for financial analysis and market research — LLM tool-calling that retrieves, processes and reasons over real-time financial data.
Turns keyword lists into structured ad groups with professional copy — Gemini 2.5 Pro with GPT-4o-mini fallback, exporting ready-to-import Excel.
Neuro-AI deep learning that classifies age and gender from EEG brainwave signals — signal processing meets CNN architectures.
Product intelligence for Amazon listings — NLP and sentiment pipelines that turn reviews and market data into actionable seller insights.
A hands-on LangChain reference: chains, agents, RAG pipelines, memory modules and end-to-end application builds in Python.
Peer-reviewed research and teaching — because shipping fast works better on strong foundations.
Hierarchical spatio-temporal video analysis — CNNs for multi-scale feature extraction fused with transformer LLMs and multimodal encoder-decoder attention for semantic summarization.
A full session on GenAI fundamentals — GANs & VAEs, transformer architectures, transfer learning and fine-tuning strategy, and the ethics of deploying generative systems.
Flip a card — every award has a system behind it. (hover or tap!)
For engineering a platform-agnostic Stable Diffusion pipeline hitting 80% image-quality accuracy while removing vendor lock-in from every internal GenAI workflow.
Recognized for enabling GPU-accelerated generative workflows across diverse hardware environments — SDXL, ControlNet and IP-Adapter from a single CLI.
Peer-reviewed research on GenAI video summarization — CNN + transformer-LLM architectures published in the SmartCom 2025 proceedings.
Video-LLaVA-7B + Whisper large-v2 — a multimedia AI benchmark at SRI-B that led straight to the Team Lead promotion.
CrewAI + LangChain agents across SEO and ads workflows — 60% less manual work, 3× faster content delivery.
Taught GANs, VAEs, transformers and ethical AI to a global webinar audience as a student researcher.
Open to forward-deployed engagements, GenAI builds and interesting AI conversations. I typically reply within 24 hours.