AI Engineer with less than a year in NLP, Deep Learning & Generative AI.
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AI/ML Engineer with hands-on experience in NLP, Deep Learning, Computer Vision, and Generative AI. Developed LLM-powered document generation, RAG retrieval systems, and stateful conversational AI using LangChain, LangGraph, FastAPI, Streamlit, and ChromaDB. Proficient in transformer architectures (BERT, GPT) and experienced in data preprocessing, feature engineering, model evaluation, and API integration. Strong team player with leadership experience as Secretary of the Rotaract Club of LDCE.
L.D. College of Engineering, Ahmedabad
B.E. (AI & ML) · Artificial Intelligence & Machine Learning
August 1, 2022 – June 30, 2026
Prakash High School, Ahmedabad
HSC · CBSE
June 1, 2020 – May 31, 2022
Prakash High School, Ahmedabad
SSC · CBSE
June 1, 2020 – May 31, 2020
Turabit Solutions Pvt. Ltd.
NLP & AI Engineer Intern
January 1, 2026 – April 1, 2026
India
Microsoft
Data & AI Skills Intern
July 1, 2025 – Present
India
IBM CSRBOX Skills Build
Data Analytics Intern
July 1, 2025 – Present
India
Bias & Fairness in Machine Learning
September 1, 2025 – October 1, 2025
Evaluated fairness metrics (demographic parity, TPR, FPR) on the COMPAS dataset; reduced model bias using Fairlearn Threshold Optimizer and Equalized Odds constraints.
Amazon Product Review Sentiment Analysis
February 1, 2025 – April 1, 2025
Built LSTM-based sentiment classification model (TensorFlow/Keras) with full NLP preprocessing pipeline (tokenization, padding, text normalization).
Human Activity Recognition
February 1, 2025 – April 1, 2025
Developed LSTM models using accelerometer and gyroscope sensor data to classify physical activities — relevant to multi-modal AI/signal processing.
Movie Genre Classification (NLP)
August 1, 2024 – October 1, 2024
Developed NLP pipelines using TF-IDF and deep learning models to classify movie genres from textual descriptions demonstrating transformer-adjacent text representation skills.
Cultural Fit Analysis
The candidate's academic projects and internship experiences align well with an AI Engineer role, showcasing a strong interest and practical application in the field. Their involvement in extracurricular activities and leadership roles suggests a well-rounded individual who can contribute positively to team dynamics and broader organizational goals. The breadth of skills and exposure to different AI sub-fields indicate a curious and adaptable mindset, which is beneficial for cultural fit in an evolving tech environment.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through their role as Secretary of the Rotaract Club and experience collaborating with various teams during internships. Their project diversity suggests adaptability and a proactive learning attitude. The focus on AI pipeline automation and API integrations indicates an understanding of operationalizing AI solutions.