Hello! I'm Adarsh Shukla, a final-year B.Tech. student majoring in Engineering Physics at the prestigious Indian Institute of Technology Roorkee. My passion lies at the intersection of Artificial Intelligence, Machine Learning, Finance, and Software Development. I've had the opportunity to work on diverse projects and research internships that have honed my technical skills and deepened my understanding of these fields. Proficient in AI Techniques, sentiment analysis & Machine learning. Demonstrated success in implementing impactful projects and providing effective results.
0 + Projects completed
Auto Segmentation of Images: As a Summer intern at IIT Roorkee under Professor Jitin Singla, I developed an advanced deep learning model for precise 2D and 3D segmentation of human cells in microscopy images.
Worked on building an AI-powered assistant for corporate automation and productivity.
Awesome Advertising, a leading marketing firm, provides cutting-edge AI solutions to enhance brand visibility.
Epilepto Systems is an emerging technology firm focused on Generative AI (GenAI) and agentic systems to solve real-world challenges.
Working on AI-driven cricket analytics platform integrating data, NLP, and fan engagement analysis.
Here are some of the notable projects I've worked on in AI, Machine Learning, and Full Stack Development
Comprehensive analysis of stock market data using technical indicators and algorithms to identify trading opportunities.
PyPDF2, Google Gemini, FAISS, RAG
An AI-powered sales agent that can make cold calls, understand customer responses, and follow sales scripts with natural conversation.
Flask, Streamlit, Google Gemini API
Automated tool that generates comprehensive financial reports from raw data, providing insights through visualizations and key metrics analysis.
PrepAPI, Pandas, Matplotlib, Firecrawl API
Machine learning model that analyzes financial news and social media sentiment to predict stock price movements with high accuracy.
Web Scraping, NLTK, Scikit-learn, Protfolio
Implementation of neural style transfer algorithms to apply artistic styles to images using deep learning techniques.
Python, PyTorch, CNN, VGG19, GAN
Deep learning model for enhancing extremely low-light images, improving visibility while preserving details and reducing noise.
Python, TensorFlow, GAN, OpenCVBelow are the details to reach out to me!