About
I am a highly motivated and skilled individual, with a strong passion for artificial intelligence and machine learning. I have experience in data extraction techniques and have worked with various AI models to enhance real-time data analysis. I am currently pursuing my B.Tech in CSE with a specialization in AI and ML from Vellore Institute of Technology.
Skills & Expertise (11)
Work Experience
Data Scientist
PharSights Business Solutions Pvt Ltd.
2025-Present - Present
Developed and implemented data extraction techniques using Retrieval Augmented Generation (RAG) to enhance real-time pharmaceutical data analysis with Large language models (LLM). Engineered advanced prompt engineering solutions to optimize data processing and validation workflows. Utilized AI models including GPT, Llama, and Gemini for smart prompting and natural language understanding applications.
Machine Learning Intern
Enhancesys Innovations
2023-2023 - Present
Collaborated with team to solve 4 real-world problems by using machine learning techniques. Engineered 3 Product Models using AI by gaining firsthand experience in data preprocessing, model development, and evaluation.
Data Science Intern
GlobalCert, Tech Stack
2022-2022 - Present
Gained practical insights on Python-Pandas, NumPy, Matplotlib, Seaborn, and EDA (Exploratory Data Analysis) and solved 10+ problem datasets. Secured 6th position out of 20 teams by delivering approximately 90% accurate results to given datasets.
Education
B.Tech in CSE with AI and ML
2021 - Present · India
Higher Secondary Education
2019 - 2021 · India
Secondary School Education
2018 - 2019 · India
Certifications
Facial recognition for Surveillance cameras using Facenet and MTCNN
Vellore Institute of Technology · 2024
Implemented key techniques including embedding extraction for high-dimensional vector representation, face alignment, and normalization for preprocessing. Integrated system with CCTV surveillance for real-time monitoring. Leveraged deep learning (DL) frameworks, convolutional neural networks (CNN), recurrent neural networks (RNN), and GPU acceleration to enhance performance. Achieved testing accuracy of 88.92% with precision at 93.3%, recall at 93.8%, and F1 score of 93-94%.
Paper Presentation at NCVPRIG - 2024
Indian Institute of Space, Science, and Technology · 2024
Presented paper on “Enhancing Marine Conservation: Advanced Underwater Waste Detection Using Deep Learning” selected by student symposium. Gained deep understanding, and valuable insights on 3-day National Conference on Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIG).
RAG (Retrieval Augmented Generation) in Computer Vision
Vellore Institute of Technology · 2024
Involved in model integration stage related to computer pipeline helping in extracting relevant external information with retrieval mechanisms. Generated more contextually accurate outputs in fine-tuning stage on custom datasets. Conducted experiments to assess effectiveness in different scenarios from 200+ visually complex datasets. Enhanced information extraction from complex sources used for medical imaging or technical document analysis. Used in cross-domain applications from space – science research to industrial maintenance.
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Skills (11)
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