About Me
I am a final-year Computer Engineering student at Jamia Millia Islamia focusing on applied AI, deep learning, and MLOps. I love building practical AI applications that solve real-world problems. I back my systems with automated, production-ready MLOps pipelines ensuring reliable data flow, efficient local or cloud execution, and seamless deployment.
Deep Learning & NLP
Mastering the core neural architectures and mathematical foundations of AI.
- •Implementing backpropagation, custom loss functions, and optimization loops
- •learning sequence-to-sequence model from rnn to transformer
- •transfer learning and fine-tuning techniques for LLMs and domain-specific applications
AI Engineering & Applied LLMs
Building practical systems powered by cutting-edge language models.
- •Architecting advanced Retrieval-Augmented Generation (RAG) and semantic indexes
- •Orchestrating hybrid execution workflows leveraging local runtimes and cloud inference
- •Ai agent like claude
MLOps & Cloud Pipelines
Moving models from local notebooks to production environments.
- •Experiment tracking and versioning with MLflow and DagsHub
- •Containerizing services with Docker and FastAPI
- •Automating infrastructure via CI/CD pipelines to AWS (EC2/ECR/S3)
Core CS & Problem Solving
Relying on strong computer science fundamentals for every build.
- •Applying advanced Data Structures & Algorithms (DSA)
- •Writing modular code using Object-Oriented principles
- •Understanding internal mechanics of DBMS and OS environments
Featured Projects
• Built an end-to-end production ML system classifying websites using 31 URL features across 11,000+ labeled records, achieving optimal performance via GridSearchCV hyperparameter tuning.
• Engineered an automated pipeline featuring MongoDB data ingestion, automated schema validation, and Kolmogorov-Smirnov statistical testing for data drift detection.
• Developed a containerized FastAPI REST API deployed via GitHub Actions CI/CD pipelines to AWS (EC2/ECR) with automated weekly cron-job retraining workflows.
• Co-engineered an open-source multimodal framework that parses video files into structured, queryable indexes to bypass heavy temporal modeling processing.
• Architected a dual-stage frame pipeline combining scene detection, Faster-Whisper audio transcription, and BLIP/CLIP image-to-text embedding generation.
• Developed a local and cloud RAG backend (Ollama/Groq) leveraging vector-based contexts for real-time semantic video querying and holistic abstractive summarization.
• Architected a 100% offline, three-stage AI pipeline (Transcribe, Classify, Act) for local file operations and code generation from voice commands.
• Designed a full-stack web UI with Gradio featuring live processing states and streaming audio uploads.
• Optimized inference performance for real-time voice processing on consumer hardware.
• Engineered 20+ supervised, unsupervised, and ensemble algorithms entirely from scratch using native Python and NumPy mathematical foundations.
• Implemented optimization mechanics (gradient descent, loss functions, and splitting criteria) for custom models like Logistic Regression, SVM, and Decision Trees.
• Developed end-to-end data pipelines for predictive analytics, evaluation metric benchmarking, and computer vision using MNIST and medical classification datasets.
• Built an intelligent AI-powered web automation agent using OpenAI Agents framework to autonomously interact with web interfaces.
• Implemented comprehensive browser automation tools including form filling (by label, placeholder, and ID), website navigation, screenshots, and element clicking.
• Engineered custom tool definitions with Zod schema validation for type-safe parameter passing between the AI agent and browser automation operations.
• Developed a MERN-stack web application to track code submissions with secure JWT authentication and refresh tokens.
• Designed an interactive dashboard using Recharts to visualize daily progress and coding consistency.
• Implemented responsive UI with ShadCN components for seamless user experience across devices.
Featured Experience
Developer Team Member
Department of Computer Engineering, Jamia Millia Islamia
Enhancing and maintaining the official department website, adding new features, and deploying content updates.
Aug 2023 - Present
GitHub Activity
Education
B-Tech in Computer Engineering with Honours in AI/ML
Jamia Millia Islamia
Aug 2023 - Present
Current CGPA: 8.2/10
Senior Secondary Education
Hamdard Public School
May 2022
Percentage: 94.2%