I build intelligent AI pipelines & scalable software that matter.
Engineering end-to-end machine learning pipelines, predictive models, and scalable software solutions. Passionate about machine learning, web development, research, and algorithmic problem solving.
About Me
Aspiring AI Engineer with a strong interest in machine learning, deep learning, data science, and intelligent system development. Experienced in Python, research, and building data-driven solutions, with a growing focus on developing and deploying practical AI applications. Currently pursuing B.Tech in CSE (AI & ML) at Institute of Engineering & Management.
My Expertise
- Custom deep neural network architectures & training pipelines implemented in PyTorch.
- Supervised & unsupervised machine learning with Scikit-Learn (XGBoost, Random Forest, SVM).
- Model validation, loss optimization, hyperparameter tuning & quantization for edge deployment.
- High-performance vector operations and multidimensional numerical analysis via NumPy.
- Large-scale ETL, data cleaning, automated feature engineering and aggregation in Pandas.
- Computer Vision (OpenCV) image pipelines & Natural Language Processing (Tokenization, Embeddings).
- High-speed, responsive Single Page Applications (SPA) and Server-Side Rendered (SSR) apps.
- Strict TypeScript type safety, modular component architecture, and reactive state stores.
- Modern UI/UX implementation with cyber glassmorphism, micro-interactions & Web APIs.
- Scalable RESTful API development with Express.js, structured middleware & error boundaries.
- Secure authentication/authorization pipelines (JWT, cryptographic tokens, rate limiting).
- Asynchronous I/O task scheduling, microservice routing, and webhook event listeners.
- Autonomous multi-agent workflow pipelines and trigger logic designed in self-hosted n8n.
- LLM tool calling, structured JSON output extraction, and prompt chaining with fallback loops.
- Seamless enterprise integrations across Telegram, WhatsApp, Email, CRMs and databases.
- Relational database schema design, index optimization, constraints & complex SQL queries.
- Flexible document modeling, aggregation pipelines and transactional consistency in MongoDB.
- Mathematical modeling, algorithmic hypothesis testing & academic research methodology.
Work Experience
Student Researcher
07.2026 – CurrentClass Representative
01.2026 – 05.2026Internship Student
08.2025 – 09.2025Internship Student
08.2025 – 09.2025Education
B.Tech - Computer Science & Engineering (AI & ML)
05-2029 (2025–Present)Class 12 – CBSE
03-2025 (2023–2025)Class 10 – ICSE
03-2023 (2009–2023)Achievements
Second Prize – IEMPHYS-26
Awarded Second Prize in the IEMPHYS-26 competition for research methodology, innovative mathematical modeling, and AI application.
Languages
Selected Work
> Freelance Vault: Encrypted & Live
Network: 256-Bit TLS Secured
Vittape
A Gen-Z user-friendly encrypted payment app for freelance payments and secured transactions. Built with instant UPI settlement pipelines, social split-pay, and bank-grade end-to-end encryption.
> Running ML validation...
Status: 200 OK (Clean)
MedVerify AI
Developed a full-stack web interface designed to streamline medical data verification workflows, integrating responsive design with real-time UI/UX state management.
> Log Parsed: 1,420 msgs
Time Saved: 4.8 hrs/day
Saver (AI Workflow Calculator)
Engineered an automated workflow automation system integrating n8n to streamline time-tracking calculations and task scheduling. Dynamically analyzes execution logs to eliminate overhead.
> Patient: Prescribed 08:00 AM
Compliance Rate: 98.4%
Dositech (Medicine Reminder)
Developed a healthcare scheduling system designed for precise medication tracking and adherence management. Built with automated notification pipelines and secure database logs.
> Cipher: AES-256-GCM
Master Key: Client Decrypted
KeyFort (Password Vault)
Built a zero-knowledge password management vault securing sensitive credentials using client-side master-key encryption with symmetric AES-256 cryptography.
AI-Powered Indian Financial & Accounting Helpline Agent
Engineered an intelligent, conversational financial copilot optimized for the Indian economic framework. The system processes Indian tax structures (GST, TDS, Income Tax Act slabs), financial years (April–March), and local accounting standards. Integrates LLM Studio tuned models with an n8n orchestration engine to parse receipts, automate ledger entries, and answer real-time tax compliance queries via automated chat interfaces.
- CGST (9%): ₹900
- SGST (9%): ₹900
- Total Invoice: ₹11,800. Auto-formatted for GSTR-1 filing!
Core Technical Stack & Engineering Capabilities
AI, LLMs & Chatbots
AI / ML & Data Science
Automation & Orchestration
Frontend Engineering
Backend Architecture & APIs
Languages & Core CS
My Work Process
Discover
Understanding goals, problem domain, and project scope.
Plan
Planning architecture, AI pipelines, and tech roadmap.
Design
Creating intuitive interfaces, schemas, and UX state flows.
Develop
Writing clean, scalable code and training AI models.
Test
Evaluating performance, accuracy metrics, and security.
Deploy
Deploying to cloud, monitoring logs, and scaling smoothly.
Let's Build Something Great
Have a project in mind, research collaboration, or opportunity? Messages submitted through this bot are directly routed to both of my email inboxes.