I am a Full-Stack AI Engineer focused on shipping fast, production-ready applications. I work to bridge responsive frontends with resilient AI-powered backend pipelines, and I thrive in high-ownership, zero-to-one environments where execution speed and architectural scalability matter. My core stack revolves around Next.js, Node.js, and PostgreSQL. I specialize in decoupled systems for Generative AI and RAG workloads, and I use AI development workflows to tackle complex, ambiguous engineering challenges independently. My LinkedIn headline is AI Engineer Intern @Botcadence | Ex - Full Stack AI Engineer Intern @Euredas; I am based in Tiruchirappalli, Tamil Nadu, India. My GitHub is www.github.com/mk-ctrl.
I am an AI engineer Intern at Botcadence (Aug 2026 to Present).
I am an Artificial Intelligence Engineer at Botcadence (Aug 2026 to Present).
I am a Freelance at No-company. (Self-employed.) (Jan 2026 to Present).
I am a Social Media Manager at Coding_Ninjas_SCE Chapter (Mar 2025 to Present), Tiruchirappalli.
I was a Full Stack Engineer at Euredas (Mar 2026 to Aug 2026).
I was a Campus Ambassador at Google Student Ambassadors (India) (Sep 2025 to Jul 2026).
I was a Campus Ambassador at Corizo (Jan 2025 to Mar 2025), India.
I am working 7 PM – 3 AM IST.
I am pursuing Saranathan College of Engineering: Bachelor of Technology, Artificial Intelligence (2023 to Present).
I earned a Bachelor of Engineering, Artificial intelligence and data science at Saranathan College of Engineering (2023 to 2027).
I attended Campion Anglo-Indian Higher Secondary School (Jul 2009 to Jul 2023).
My GPA is 8.66/10.
I hold the EF SET English Certificate 85/100 (C2 Proficient), Sep 2026, EF SET.
I completed Essentials of Prompt Engineering, Mar 2026, Amazon Web Services (AWS).
I hold Microsoft Certified: Azure AI Fundamentals, Aug 2025, Microsoft.
I completed Using Vector Search for Semantic Search, Jun 2025, MongoDB.
I hold Microsoft Certified: Azure Fundamentals, Apr 2025, Microsoft.
I completed Supervised Machine Learning: Regression and Classification, Apr 2025, DeepLearning.AI.
I completed the GitHub Automation Console project in Jul 2026, Jul 2026.
For the GitHub Automation Console, I developed a robust full-stack technical assessment project featuring a decoupled backend architecture, clean API routing, and optimized data workflows.
For the GitHub Automation Console, I focused on writing modular, production-ready code with secure endpoint handling, structured error management, and responsive frontend-backend integration.
I built the Async AI Customer Support Triage System in Jun 2026, Jun 2026.
For the Async AI Customer Support Triage System, I built an asynchronous, event-driven customer support backend featuring semantic caching via Supabase pgvector to eliminate redundant LLM calls.
For the Async AI Customer Support Triage System, I integrated Hugging Face LLMs for automated sentiment analysis and ticket routing, managed background tasks with BullMQ and Redis, and streamed real-time analytics to a dashboard using Socket.io.
I developed the AI-Powered Transaction Processing Pipeline in May 2026, May 2026.
For the AI-Powered Transaction Processing Pipeline, I developed a high-throughput, containerized backend pipeline for processing raw financial CSV exports.
For the AI-Powered Transaction Processing Pipeline, I implemented an asynchronous producer-consumer architecture using FastAPI, Celery, and Redis for non-blocking job execution.
For the AI-Powered Transaction Processing Pipeline, I designed a defensive data-cleaning layer with Pydantic v2, built a custom statistical and rules-based anomaly detection engine using SQLAlchemy and PostgreSQL, and integrated OpenRouter LLMs (Llama 3.1) via exponential-backoff retries for automated batch classification and behavioral executive summary generation.
My skills include Celery, Render, Vercel V0, API Development, Supabase, Redis, PostgreSQL, FastAPI, Document Processing, SQL, TypeScript, Cursor AI, Large Language Models (LLM), Full-Stack Development, Freelancing, Computer Vision, Natural Language Processing (NLP), C (Programming Language), Semantic Search, Vector Embeddings, Serverless Function, MongoDB Trigger, Microsoft Azure, Cloud Storage, Cloud Security, Express.js, Tailwind CSS, Node.js, JavaScript, React.js, Chatbot Development, Retrieval-Augmented Generation (RAG), Cascading Style Sheets (CSS), HTML, Python (Programming Language), and Front-End Design. I have also engineered a Triad System and an AI Power Transaction platform using Celery, asynchronous task queues, and Docker Compose, which I describe as fully containerized, plug-and-play environments that run flawlessly out of the box.