About

MSc Computer Science student at Paderborn University.

I build multimodal AI systems (RAG pipelines, agent orchestration, LLM tooling), reinforcement learning agents (PPO, DQN), and signal-to-action interfaces (EEG-based BCI, vision-guided control). My work spans from foundation model systems that understand and generate across modalities to RL agents that learn to act in complex environments.

I'm drawn to the intersection of perception, reasoning, and action — building intelligent systems that bridge the gap between understanding the world and acting in it.

What I'm Working On

Building depth in reinforcement learning and multi-agent architecture design.

Reinforcement Learning Systems

Deepening my understanding of RL from first principles to deployment-ready experimentation.

  • Working through "Reinforcement Learning: An Introduction" by Sutton & Barto chapter-by-chapter
  • Pairing readings with curated deep learning lectures to strengthen theoretical intuition
  • Building interactive notebooks that visualize policy/value updates for classic control problems
  • Designing Minesweeper experiments comparing PPO vs RND for exploration strategies
RL Deep Learning Experimentation
Learning Log PPO vs RND Report

Work Experience

Shipped production-grade AI systems across speech, retrieval, and automation.

February 2025

GenAI Developer – Stealth SaaS Project

Remote

  • Developed a multi-modal RAG system for a SaaS meeting assistant, enabling semantic search and context-aware responses across PPTs, graphs, tables, and images using LLMs and vector databases
  • Built an agenda-tracking module to align live transcriptions with meeting objectives, improving real-time topic detection
  • Designed pre-meeting automation flows including topic extraction, FAQ generation, and brainstorming agents
RAG LLM Vector Databases Multi-modal AI NLP

Education

Grounded in computer science with a focus on intelligent systems.

2026 — Present

Master of Science in Computer Science

Paderborn University, Paderborn, Germany

2021 — 2025

Bachelor of Technology in Computer Science

Vellore Institute of Technology, Bhopal

CGPA: 8.82/10

2021

Senior Secondary Education

Tagore International School

Percentage: 85%

2019

Secondary Education

Tagore International School

Percentage: 91%

Skills

Tools and technologies I reach for when solving complex, data-rich problems.

AI/ML

PyTorch TensorFlow Scikit-learn LangChain ML/DL NLP Computer Vision

Programming

Python Java HTML/CSS

Tools & Technologies

Git Docker Brain-Computer Interface Robotics SQL Arduino Raspberry Pi

Featured Projects

Selected builds that blend research-driven ideas with production-ready execution.

VOID-AI

NLP GenAI LLM Voice AI Memory Systems Dec 2024 - Mar 2025

Developed a next-gen voice-controlled AI assistant with personalized memory systems and multi-agent capabilities.

  • Built a hierarchical memory system with episodic, semantic, and procedural memory layers
  • Implemented real-time voice processing using Whisper STT and Kokoro TTS
  • Integrated multiple services including Spotify, Notion, Gmail, and Google Calendar
  • Developed an anti-procrastination system with contextual reminders
  • Designing reinforcement learning loops for adaptive productivity workflows
Project Details Code

SyncTew: Brain-Computer Interface

Signal Processing Keras BioAmp EEG Oct-Dec 2023

Mind-controlled gaming interface using BCI technology with real-time EEG data acquisition.

  • Real-time EEG data acquisition using Bio Amp chip
  • Classification of attention and relaxation brain states
  • Interactive game control system based on neural signals
Project Details Code Instructable

Customer Segmentation Intelligence

Machine Learning Data Analysis Clustering Dec 2023

Interactive retail analytics tool that identifies customer personas and highlights revenue opportunities.

  • Implemented RFM analysis and K-Means clustering for behavioral cohort discovery
  • Designed a Plotly dashboard with drill-down filters for merchandising teams
  • Automated feature pipelines to keep segmentation insights continuously fresh
Code Dashboard

SwastikOrganics E-commerce

PHP Apache MySQL HTML/CSS 2024

Designed and developed an e-commerce platform for natural wellness products.

  • Responsive design optimized for all devices
  • Integrated payment gateway and order tracking
  • Customer account management and product recommendations
Live Site

InfoSynth

mini project Groq SerpAPI Streamlit 2024

Developed an automated information extraction tool for data processing.

  • Seamless integration with CSV files and Google Sheets
  • Implemented Groq LLM for efficient information synthesis
  • Integrated SerpAPI for accurate web search capabilities
Code Demo

Crypto Price Predictor

LSTM Neural Networks Time Series Oct 2023

Forecasting suite experimenting with deep learning architectures for volatile crypto markets.

  • Delivered LSTM-based directional predictions with custom feature engineering
  • Benchmarked classical ML models to quantify performance lift from deep nets
  • Packaged reusable data preprocessing pipelines for financial signal research

AI-Powered Gimbal

Computer Vision C++ PID Control Hardware Dec 2022

Built a self-balancing camera gimbal system with AI tracking.

  • Arduino-controlled PID algorithms for stabilization
  • AI-powered object detection for target tracking
  • Advanced kinematics for precise camera movement
Code Demo

HealthBot

LangChain LLM API Integration Sept 2023

Developed an intelligent health information chatbot with WhatsApp integration.

  • Integration with Twilio for WhatsApp interface
  • Implementation of GPT-3.5/Gemini-flash model for responses
  • Real-time disease information retrieval through web scraping
Code Demo

Certifications & Achievements

Recognized learning milestones that reinforce my applied AI practice.

Deep Reinforcement Learning

Hugging Face

Oct 2025

Explored PPO, DQN, Policy Gradients, Advantage Estimation, environment wrappers, Stable Baselines3, and Gym integration. Built and trained multiple reinforcement learning agents.

Google Cloud Digital Leader Certification

Google Cloud

2024

Validated cloud fluency across data, AI, and modern infrastructure workloads.

Data Science Externship

SmartInternz

Dec 2023

Delivered customer segmentation models and interactive dashboards for retail analytics.

Deep Learning Specialization

Coursera - DeepLearning.AI

2023

Built CNN, RNN, and optimization pipelines with deployment-ready workflows.