About
Highly motivated Bachelor of Technology student specializing in Industrial and Production Engineering, with a robust foundation in Data Science, Machine Learning, and Generative AI. Proven ability to develop and deploy advanced AI solutions, including RAG applications, NLP pipelines, and Deep Learning models, as demonstrated through impactful projects. Eager to leverage strong analytical, programming, and leadership skills to drive innovation and solve complex challenges in a dynamic technical environment.
Work
Dr. B. R. Ambedkar National Institute of Technology (NIT), Jalandhar
|Placement Representative, Industrial & Production Engineering
Jalandhar, Punjab, India
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Summary
Served as the primary liaison between the Training & Placement Cell and over 90 students, streamlining critical communication and coordination for career opportunities.
Highlights
Coordinated company recruitment drives for 90+ students, ensuring timely communication of eligibility criteria and logistical details.
Acted as the single point of contact, facilitating seamless information flow between students and the Training & Placement Cell.
Managed essential administrative tasks for placement activities, contributing to efficient departmental operations and student engagement.
Volunteer
Google Developer Student Club (GDSC) Jalandhar Punjab
|Member of AI/ML Team
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Summary
Contributed to the AI/ML team, leading educational initiatives to foster foundational machine learning knowledge among peers.
Highlights
Organized and delivered a 'Month of Learning' event, teaching Machine Learning fundamentals to over 50 first-year students.
Developed engaging educational content and practical exercises to demystify complex AI/ML concepts for beginners.
Mentored and supported student participants, enhancing their understanding and application of machine learning principles.
Education
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Bachelor of Technology
Industrial and Production Engineering
Grade: CGPA: 8.17/10
Courses
Statistics & Probability
Exploratory Data Analysis
Data Preprocessing
Data Cleaning
PCA
Linear Regression
Logistic Regression
Decision Tree
Random Forests
XGBoost
Gradient Boosting
SVMs
KNN
K-Means Clustering
Recommender Systems
ANN (Artificial Neural Networks)
CNN (Convolutional Neural Networks)
RNN (Recurrent Neural Networks)
LSTMs (Long Short-Term Memory)
Transformers
NLP (Natural Language Processing)
Naive Bayes
Ensembles
Skills
Programming Languages
Python, SQL.
AI/ML Frameworks & Libraries
Langchain, TensorFlow, Keras, Scikit-learn, NLTK, spaCy, Numpy, Pandas, Matplotlib, Seaborn, OpenCV, ChromaDB, OpenAI Embeddings.
Computer Programming & Concepts
Machine Learning, Deep Learning, Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Large Language Models (LLM), Basic RAG Setup, Parsing, Chunking, Retriever Strategy, Vector Database Setup.
Data Analysis & Tools
MS-Excel, Data Preprocessing, Data Cleaning, Feature Engineering, Model Building, Model Evaluation, GridSearchCV, TF-IDF Vectorization.
Machine Learning Algorithms
Linear Regression, Logistic Regression, Decision Trees, Random Forests, XGBoost, Gradient Boosting, SVMs, KNN, K-Means Clustering, Naive Bayes, Ensembles, Recommender Systems.
Soft Skills
Time Management, Multitasking, Public Speaking, Leadership, Problem Solving, Coordination, Communication.