Building the
Future with AI
AI engineer with 6+ years building production ML systems — real-time inference APIs, RAG pipelines, and LLM-powered backends, from computer vision to large language models.
The Mind Behind
The Machine
An engineer who builds AI that runs in production — designing the pipelines, APIs, and infrastructure that turn models into real products.
Machine Learning Engineering
Production ML pipelines, feature engineering, model training, and scalable inference using Python, PyTorch, and Scikit-learn.
Generative AI & LLM Systems
RAG architectures, embeddings, vector search, and LLM application development with LangChain and LlamaIndex.
Computer Vision
Image analysis, OCR pipelines, document intelligence, and video understanding using CNNs, ViTs, and OpenCV.
AI Infrastructure & MLOps
Containerized ML services, experiment tracking, CI/CD, and cloud deployment using Docker, Linux, AWS, and GCP.
Data Engineering
Data pipelines, dataset management, and feature workflows for scalable machine learning systems.
Backend & API Engineering
High-performance REST APIs and microservices for model serving using FastAPI, Python, and containerized deployments.
AI System Architecture
Designing scalable AI platforms integrating LLM services, APIs, and distributed inference systems.
Applied AI Research
Research in neural architectures, model optimization, multimodal learning, and efficient inference.
Technical Proficiency
Impact
「Build. Ship. Scale.」
Work
Experience
6+ years shipping production AI — from deep learning models to LLM-powered backend systems.
SDE – AI Backend (Data Science & ML)
CodeRooms Technologies
Architecting and shipping AI-powered backend systems — ML pipelines, real-time inference APIs, and RAG-based LLM applications running in production.
- ▹Architected end-to-end ML pipelines powering predictive analytics and automated decision workflows
- ▹Built and scaled FastAPI inference services for low-latency, real-time model serving
- ▹Engineered RAG architectures with LLMs, LangChain, and ChromaDB for knowledge retrieval systems
- ▹Automated model training, retraining, and deployment pipelines to cut release cycles
- ▹Containerized ML services with Docker for reproducible, portable deployments
Applied AI/ML Engineer
Chitkara University
Building applied AI systems end to end — from data pipelines and model development to LLM-powered applications and production deployment.
- ▹Built data preprocessing, feature engineering, and model evaluation pipelines across multiple ML workloads
- ▹Developed NLP, computer vision, and predictive analytics solutions on real-world datasets
- ▹Engineered RAG pipelines and LLM-powered applications from prototype to deployment
- ▹Led technical architecture and code reviews for production-grade ML solutions
AI Engineer
Crract Technologies
Built the AI and backend engine of a Workforce Management (WFM) SaaS platform — demand forecasting, capacity planning, intelligent scheduling, and real-time operations monitoring.
- ▹Developed forecasting and Erlang-based capacity models to predict demand and size staffing requirements
- ▹Built the scheduling engine and real-time adherence monitoring (RTM) with automated action logging
- ▹Implemented anomaly detection across operational KPIs — occupancy, shrinkage, break compliance, and coverage
- ▹Designed cross-module integrations linking WFM, operations, and finance data into a unified dashboard
- ▹Architected modular FastAPI services with authentication, data upload/remapping, and governance APIs
AI SDE (Freelance)
Vision Infotech
Delivered machine learning solutions — classification, forecasting, and data processing pipelines — for analytics-driven client applications.
- ▹Built data ingestion and preprocessing pipelines for structured datasets
- ▹Implemented classification and forecasting models for predictive analytics
- ▹Applied hyperparameter tuning and cross-validation to improve model performance
AI/ML Engineer (Contract)
Parul University
Built applied ML systems on real-world industry datasets, covering the full lifecycle from EDA to deployed model services.
- ▹Developed end-to-end ML solutions spanning EDA, model development, and deployment
- ▹Built FastAPI-based model serving layers and integrated them with downstream applications
- ▹Engineered data processing workflows on real-world industry datasets
- ▹Shipped ML projects from raw data to deployable, API-driven services
Analyst (AI/ML)
Capgemini
Developed deep learning models for computer vision and sequence prediction with focus on evaluation, optimization, and deployment readiness.
- ▹Implemented CNN and sequence models for image analysis and time-series prediction
- ▹Evaluated model performance using Precision, Recall, F1-score, and ROC-AUC
- ▹Optimized models for deployment with improved inference latency
AI Projects
That Make Impact
From computer vision to large language models, explore the AI solutions I've built to solve real-world problems.
Local AI Assistant
Built a privacy-focused local AI assistant capable of executing system commands and automating workflows through natural language instructions. The assistant interprets prompts, maps them to executable actions, and integrates with local OS utilities for automation without relying on cloud APIs.
Multi-Lingual Invoice Data Extraction
Developed a multimodal document intelligence system that extracts structured information from invoices using OCR and Gemini. The application processes images in multiple languages and formats, enabling automated document understanding and financial data extraction.
Coderooms AI Sandbox Platform
Architected a full-stack platform that provisions on-demand, containerized ML environments on Kubernetes. Features LLM-driven content generation, isolated per-user sandboxes, and a scalable backend for running and experimenting with machine learning models.
Computer Vision Toolkit
Developed a real-time computer vision system using OpenCV and MediaPipe to perform gesture recognition, pose estimation, and hand tracking. The toolkit processes webcam streams to extract landmark features and supports gesture-based user interaction systems.
GitHub Documentation Generator
Built an AI developer productivity tool that automatically generates structured documentation for GitHub repositories. The system analyzes repository files, extracts architecture details, and produces ready-to-publish documentation using AI summarization pipelines.
AI Image Classifier
Designed and trained a convolutional neural network using TensorFlow for automated image classification tasks. The system demonstrates the full deep learning pipeline including preprocessing, augmentation, model training, evaluation, and inference optimization.
Mini Chatbot
Implemented a lightweight conversational AI chatbot capable of understanding user commands and executing predefined tasks. The system demonstrates intent detection, command mapping, and conversational flow management.
Restaurant SaaS Platform
Developed a SaaS platform for restaurant management enabling order tracking, customer analytics, and operational workflows. The system demonstrates scalable backend architecture and modern frontend development for SaaS products.
Automation with Python
Developed automation pipelines for system administration tasks including Docker management, Hadoop configuration, and infrastructure operations using Python scripting.
Wall of
Fame
Milestones, recognitions, and achievements throughout my AI journey.
Agentic AI Hackathon Jury
Chitkara University
Served as a jury member evaluating innovative AI and Agentic AI solutions developed by students.
AI Hackathon Technical Jury
Parul University
Technical jury evaluating machine learning and AI-based solutions.
Guest Speaker – Agentic AI
Poornima University
Delivered a technical talk on Agentic AI systems and modern LLM applications.
Silver Medal – National Debate Competition
Verbattle
Secured silver medal in a national-level debate competition.
Stanford IoT Certification
Stanford University
Completed professional certification on Internet of Things technologies.
Machine Learning for Remote Sensing
IIRS – ISRO
Completed advanced certification in machine learning applications for remote sensing.
Certifications
Ready to Build
Something Amazing?
Whether you need an AI system built, a production ML pipeline scaled, or an engineer for your team, let's talk.