AI & Data Science enthusiast crafting intelligent solutions. Specializing in Machine Learning, Deep Learning, and Full-Stack Development with a passion for turning data into actionable insights.
B.Tech Student
I'm a passionate Web Developer and AI & Data Science Engineer at Sri Eshwar College of Engineering, with hands-on experience in building intelligent, accessible, and high-performance applications.
My expertise spans from developing predictive machine learning models to architecting robust full-stack web applications using cutting-edge technologies like LLMs, NLP, and Deep Learning algorithms. I've gained practical industry experience interning at V3 Analytics and RV Tech Learn, translating complex data into actionable business intelligence and functional digital experiences.
Intelligent Stock Market Assistant with multimodal AI tools, LLM-driven RAG pipelines, and CNN-based diagnostic analysis.
Personalized Healthcare AI Advisor with role-based access, real-time multilingual chat, and ML-powered consultation support.
AI-driven PDF app using BERT for sentiment analysis and RVC model for voice generation. Cross-platform with Flutter and React.
Interactive AI-powered game for speech therapy with personalized exercises, real-time feedback, and gamified progress tracking across platforms.
Intelligent surveillance system leveraging Vision Transformers (ViT) for real-time object detection and activity monitoring in video streams, improving contextual understanding over traditional CNN models.
A web-based application that uses T5 Transformer to summarize lengthy text. It features a Flask backend and a Streamlit frontend for seamless interaction.
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Comprehensive mastery of DSA concepts including trees, graphs, dynamic programming, and algorithmic complexity analysis.
Advanced SQL proficiency including complex queries, database optimization, and efficient data manipulation techniques.
Validated cloud fluency and foundational AWS knowledge including core services, security, architecture, and pricing.
Foundation in data concepts, data lifecycle, and essential data analysis techniques for modern data-driven decision making.
In-depth understanding of cloud architectures, distributed computing paradigms, and scalable system design principles.
Comprehensive certification covering quantitative trading strategies, portfolio optimization, and risk management techniques using Python and financial modeling.
Issued in January 2025 (Expires Jan 2027).
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Earned in February 2026.
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Earned in March 2026.
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"Smart Blind Belt" at BIT V-Prayukti
1500+ Rating | 300+ Problems Solved
180+ Problems Solved
National Level Hackathon Participant