B.Tech in Electrical Engineering
Pursuing a B.Tech in Electrical Engineering at IIT Jammu. Gaining expertise in AI, software development, and problem-solving while balancing academics, research, and tech projects.
I am an Electrical Engineering student at IIT Jammu, passionate about exploring technology and solving complex problems. I enjoy learning new skills and tackling challenges, always looking for opportunities to grow and develop both personally and professionally.
With experience in data science, computer vision, and cybersecurity, I strive to create innovative solutions that drive efficiency and impact.
Strengths & Specializations
AI/ML Developer | Software Engineer | Data Science | Python, SQL, Django, FastAPI, LangGraph
Pursuing a B.Tech in Electrical Engineering at IIT Jammu. Gaining expertise in AI, software development, and problem-solving while balancing academics, research, and tech projects.
Result: 94%
· Developing Generative AI solutions using LLMs for enterprise business applications.
· Building and deploying autonomous AI agents for workflow automation using LangGraph.
· Implementing RAG (Retrieval-Augmented Generation) pipelines and scalable FastAPI backends.
· Engineered big data pipelines using Apache Spark for large-scale AC fault prediction.
· Leveraged sensory IoT data to develop predictive maintenance workflows.
· Designed a hybrid ML model achieving 97% accuracy and 99% precision, significantly reducing equipment downtime.
· Used Python and SQL to perform complex data analysis and generate actionable business insights.
· Analyzed India's trade data from MeiTY to identify key trends and patterns.
· Collaborated with senior analysts on diverse projects, applying EY methodologies for data-driven strategies.
· Assisted in developing and testing methods for equity selection and risk management.
· Implemented tools for data processing, backtesting, and performance analysis using Python.
A Glimpse of My Work: Projects, Innovations & Achievements
Django-based algorithmic trading engine integrating ML models for accurate stock price prediction and portfolio management. Deployed live on Heroku.
97% model accuracy · Live deployment
View Project ->
Research integrating fractal geometry for enhanced pattern recognition in Tsetlin Machines, focused on interpretable ML for skin cancer detection.
Interpretable ML for medical imaging
View Project ->
A real-time messaging platform built with Django Channels and WebSockets, supporting instant communication and online presence.
Low-latency messaging at scale
View Project ->
Developed a system using Raspberry Pi & EMG sensors to improve movement detection accuracy for below-knee prosthetics.
Improved signal detection reliability
View Project ->One of 30 scholars selected across Asia Pacific for academic excellence and leadership potential.
View Certificate ->Secured All India Rank 8934 in one of India's most competitive engineering entrance exams.
Selected for government-funded research fellowship on Agentic Tsetlin Machine for Skin Cancer Detection.
View Certificate ->Have an Idea? Let's Talk and Make It Happen!