DKDepak Kumarasan
Open to full-time roles · Chennai or remote

DepakKumarasan

Full-Stack & AI Engineer building fast, beautiful products and practical AI — from pixel to production.

See my work ↓
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13.08° N, 80.27° E — Chennai, India Local time --:-- IST Scroll to explore ↓
Full-stackInterfaces, APIs, data and deployment
Applied AIRAG, BERT classifiers, FAISS search
ProductionSSR, DNS, SSL, caching, servers
EN · த · हिMultilingual products, end to end
01 Skills playground

My stack,
in your hands.

Grab a skill and throw it. On a phone, tilt the screen and gravity follows. Every chip here is something I have used to ship real work.

Frontend
React, Next.js (SSR), JavaScript, responsive UI, motion design
Backend
Node.js, Python, REST APIs, Memcached caching
AI / ML
RAG, BERT embeddings, RandomForest, FAISS semantic search
DevOps
Nginx, Apache, CORS, Hostinger, DNS & SSL, GitHub
Drag · throw · tilt
02 Selected engineering work

Problems I solved,
systems I shipped.

Generative AI · Video01● In build

Adcrevia

An AI video generation platform: products in, platform-ready videos out.

  • Seven-stage pipeline — create, plan, produce, review, distribute, measure and learn — from a product link, catalogue or flyer.
  • Generates visuals, script, voice, music, captions and the final cut in multiple variations, inside a per-project cost ceiling.
  • Human-in-the-loop control: every decision runs automatically, asks first, or stays manual, and nothing publishes without approval.
  • Publishes to YouTube Shorts, Instagram Reels, Facebook and TikTok, with a cross-platform performance view.
Generative AIVideo pipelineJob queuesSocial APIsAnalytics
Visit adcrevia.com ↗
New drop · 40% off
CreatePlanProduceReviewDistributeMeasureLearn
AI · EdTech02

Examozhi

An AI tutor that answers from the textbook, not from guesswork.

  • Built a retrieval-augmented generation pipeline that grounds every answer in textbook content.
  • Added multilingual learning and search so students can learn in the language they think in.
  • Exposed the engine through APIs and configured asset hosting with Apache/Nginx and CORS.
PythonRAGEmbeddingsREST APIsNginx
Explain photosynthesis in Tamil, Grade 7
Ch. 4 · p.52Ch. 4 · p.53Glossary
Machine learning03

Bot Detection Model

Separating humans from bots across ~50,000 records.

  • Combined BERT text embeddings with metadata features and trained a RandomForest classifier.
  • Precomputed and cached embeddings so experiments did not recompute the expensive step.
  • Engineered a CPU fallback when CUDA support was limited on a 4 GB GT 730 — the pipeline still ran.
PythonBERTRandomForestFeature engineeringCaching
SaaS architecture04

Next-Action CRM

A system that tells a team exactly who needs them next.

  • Designed customer, event and next-action data models for standalone and connected modes.
  • Planned integrations with Zoho, HubSpot, Salesforce, WordPress and custom CRMs.
  • Mapped an Android post-call workflow, offline mobile support and English/Tamil/Hindi UI.
System designNode.jsReactAndroidIntegrations
ARArun · renewal in 2 daysCall now
PSPriya · missed call, 11:40Follow up
KMKarthik · quote opened 3×Send offer
SVSowmya · new enquiryReply
Next.js · Platform05

Engineering Training Platform

A modern student experience, without breaking the legacy system behind it.

  • Delivered a Next.js SSR website and training platform on Hostinger Business.
  • Shipped as an isolated subdomain deployment so existing admin systems and data stayed protected.
  • Structured a 40-hour SPPID programme into 40 syllabus sections with classroom and live options.
Next.jsReactSSRHostingerGitHub
First paintSSR
SEO readinessIndexed
Legacy adminUntouched
Course sections40 / 40
Web · Live06

Rusavi Engineering

An international-grade website for an engineering consultancy.

  • Designed and built a modern, responsive site aligned to the brand identity.
  • Migrated DNS from GoDaddy, pointed nameservers to Hostinger and set up SSL.
  • Kept deployments clean with a single full-build release package for every update.
HTML/CSS/JSResponsiveDNSSSLHostinger
Visit rusavi.com ↗
rusavi.com
Search · Prototype

Semantic Model Search

FAISS-based search across model versions and serial numbers with embeddings, caching, shared indexes and API access.

E-commerce

Premium Saree Store

A differentiated e-commerce experience for a Salem saree house, with catalogue-driven product pages and client previews.

React · Games

Play-to-Learn Games

Animated learning games for children — a React Memory Game with timers, moves and match animations, plus Simon Says.

03 Experience

Where I have
done the work.

PresentChennai, India

Full-Stack & AI Engineer · Independent

  • Design, build and deploy production web platforms end to end for engineering, education, healthcare and retail clients.
  • Ship Next.js SSR platforms and premium responsive websites, including DNS, SSL and hosting migrations.
  • Build applied AI systems — an AI video generation platform, RAG learning engines, BERT-based classifiers and FAISS semantic search.
  • Run technical SEO for healthcare websites and translate business needs into clear technical plans.
OngoingWorkshops & mentoring

Technical Trainer & Speaker

  • Led sessions at Mailam Engineering College on AI, careers, interviews, self-introduction and group discussions.
  • Mentored junior developers through real projects, code reviews and portfolio building.
EarlierDashing Knights

Web Developer & Technical Writer

  • Built websites and wrote technical content — learning to ship software and explain it clearly.
04 How I work

What a team
gets with me.

01

Own it end to end

From the first wireframe to DNS records and SSL — nothing gets left for someone else to fix.

02

Performance is a feature

Server rendering, caching and lean bundles, because speed is the first impression.

03

Practical AI

Grounded, measurable models that run on the hardware you actually have.

04

Explain the why

Years of training others taught me to document, communicate and lift the team.

05 Contact

Let us buildsomething great.

Hiring for a full-stack, frontend or AI engineering role? I would love to hear about it.