About
I'm an AI/ML Engineer and Robotics enthusiast with a focus on neural interfaces and intelligent systems. Currently pursuing B.Tech in Computer Science at VIT Bhopal.
What I'm Working On
Reinforcement Learning
Currently studying reinforcement learning fundamentals and deep learning through Sutton's book and deep learning lectures.
- Reading "Reinforcement Learning: An Introduction" by Sutton & Barto
- Following deep learning lectures to strengthen theoretical foundations
- Creating interactive visualizations to understand core RL concepts
- Planning to implement RL algorithms for practical applications
Work Experience
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
Education
Bachelor of Technology in Computer Science
Vellore Institute of Technology, Bhopal
CGPA: 8.82/10
Senior Secondary Education
Tagore International School
Percentage: 85%
Secondary Education
Tagore International School
Percentage: 91%
Skills
AI/ML
Programming
Tools & Technologies
Featured Projects
VOID-AI
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
- Planning to implement reinforcement learning and deep learning algorithms for enhanced personalization and task optimization
SyncTew: Brain-Computer Interface
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
Customer Segmentation
Interactive dashboard for retail data analysis with RFM analysis and clustering algorithms.
- Implemented RFM analysis for customer behavior insights
- Developed clustering algorithms for effective segmentation
- Created interactive visualizations using Plotly
Crypto Price Predictor
Cryptocurrency price prediction using LSTM neural networks with 53% directional accuracy.
- LSTM neural networks for time series forecasting
- Comparative analysis of multiple ML models
- Custom data preprocessing pipeline for financial data
SwastikOrganics E-commerce
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
InfoSynth
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
AI-Powered Gimbal
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
Certifications & Achievements
Google Cloud Digital Leader Certification
Google Cloud
2024Data Science Externship
Company Name
Dec 2023Project-based certification in customer segmentation and data visualization
Deep Learning Specialization
Coursera - DeepLearning.AI
2023Comprehensive deep learning course covering CNNs, RNNs, and optimization techniques