Initializing neural architectures...25%
About Me
Engineering Models.
Building Systems.
I am a B.Tech student in Computer Science at Thapar Institute of Engineering and Technology, with a strong focus on Machine Learning, Natural Language Processing, and applied AI systems. I build software that combines modern machine learning principles with clean, reliable engineering practices.
I have worked on practical projects involving semantic search, medical recommendation systems, and intelligent research automation. My work focuses on constructing robust data pipelines, model integration, and user interfaces that make AI systems usable and impactful in real-world scenarios.
Currently, I am deepening my foundation in Data Structures, Algorithms, and Machine Learning fundamentals while preparing for GATE 2027. I am actively seeking internship opportunities where I can apply my skills to real-world systems and grow alongside experienced engineers.
Connect with me online
GitHub
X (formerly Twitter)
Quick Info
B.Tech (Expected 2027)
TIET, Patiala, Punjab
Patiala, India
Open to Relocation
Status
Available for Internships
Technical Arsenal
My Skill Stack
A comprehensive overview of the tools and technologies I use to build intelligent systems.
Programming
Python
C++
SQLObject-Oriented Programming, scripting, data pipelines, and competitive problem solving.
Machine Learning
Scikit-LearnFeature Engineering
Supervised Learning, Classification, Regression, Evaluation Metrics
Deep Learning
PyTorchCNNs
Neural Networks, CNN Architectures, backpropagation, and fundamental DL training loops.
NLP & IR
HuggingFaceTF-IDF
Sentence Transformers
FAISS
Sentiment Analysis
Text Preprocessing, BoW, Text Similarity, Semantic Search, Vector Embeddings
Data Handling
Pandas
NumPyData cleaning, transformation, exploratory analysis, and dataset preparation for ML pipelines.
Systems & Deployment
Flask
Git
JupyterREST API development, version control workflows, reproducible notebooks, and local model serving.