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Junior Research Fellow (JRF) @ IIT Bhilai | Artificial Intelligence| | GenAi | LLM | Agentic AI |
As a Project Assistant at IIT Bhilai, I contribute to the development of AI-powered tools, applying advanced knowledge in artificial intelligence gained during my postgraduate diploma at C-DAC. My responsibilities include leveraging deep learning to create solutions such as custom CNN models for agriculture, enabling real-time disease detection on mobile devices. My academic foundation in mechanical engineering from University College of Engineering and Technology, BTU, complements my expertise in AI and machine learning. I have also delivered impactful projects in areas like underwater infrastructure safety and real-time exam proctoring. Motivated to advance technology applications, I focus on crafting efficient, scalable, and practical AI models.
Centre for Development of Advanced Computing (C-DAC)
POST GRADUATE DIPLOMA IN ARTIFICIAL INTELLIGENCE, Artificial Intelligence
September 1, 2022 – March 1, 2023
Bikaner Technical University | University College Of Engineering & Technology
Bachelor of Technology - BTech, Mechanical Engineering
July 1, 2019 – August 1, 2022
State Board of Technical Education, Bihar
Diploma of Education, Mechanical Engineering
August 1, 2015 – July 1, 2019
IIT Bhilai
Project Assistant
August 1, 2024 – Present
Bhilai · On-site
AI&DS
Freelance
June 1, 2024 – July 1, 2024
Remote · Remote
Sidekick
AI ML Engineer
March 1, 2023 – March 1, 2024
Raipur · On-site
Invoice Extractor Project Using Google Gemini Pro Free LLM Model
February 1, 2024 – February 1, 2024
Explore the process of creating a multi-language invoice extractor using Google's Gemini Pro Free Large Language Model (LLM), focusing on extracting key invoice details like invoice number, description, quantity, date, unit price, amount, total, email, phone number, and address. This project harnesses the power of Gemini Pro, Google's versatile AI model designed for various tasks and modalities
LLM And Large Image Model Application Using Gemini Pro Free Model
February 1, 2024 – February 1, 2024
This project focuses on leveraging Google's Gemini Pro, a powerful large language model (LLM), for the development of applications that involve both natural language processing (NLP) and large image processing tasks. By utilizing Gemini Pro's advanced capabilities, developers can create comprehensive applications that integrate text understanding and image recognition functionalities seamlessly.
House price prediction
August 1, 2023 – September 1, 2023
The project aims to build a machine learning model that predicts the selling price of houses based on various property features. This involves data collection, preprocessing, model selection and training, evaluation, deployment, and ongoing maintenance. The goal is to create a user-friendly tool for estimating house prices, benefiting both buyers and sellers in the real estate market.
Email spam Detection
July 1, 2023 – August 1, 2023
The Email Spam Detection Project aims to create an intelligent system capable of efficiently filtering out spam emails, thereby improving email communication by reducing unwanted distractions and potential security risks for users. This project can serve as a foundation for further research and development in the field of email security and NLP-based applications.
Startups Success Rate Prediction
June 1, 2023 – July 1, 2023
The "Startup Success Rate Prediction" project aims to leverage data science and machine learning techniques to provide valuable insights into the factors influencing the success or failure of startups. By developing an accurate predictive model and user-friendly interface, this project can significantly benefit the startup community and the broader business ecosystem.
Hand Tracking and raising Hand Safety
November 1, 2022 – February 1, 2023
Our project focuses on using object detection techniques to improve hand tracking and raise hand safety in various settings. By detecting hands in real-time using computer vision algorithms, we can track their movements and ensure they are being used in a safe and appropriate manner. This can be especially useful in environments such as industrial workplaces, where hand safety is a critical concern. Our system also includes features for raising alarms when unsafe hand movements are detected, providing an additional layer of protection for workers. Overall, our project aims to improve safety and reduce accidents by using advanced computer vision techniques to track and monitor hand movements in real-time.
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in practical AI/ML applications, ranging from NLP to computer vision. The experience as a freelance AI&DS developer and AI ML Engineer at Sidekick aligns with roles requiring independent problem-solving and technical implementation. The educational background, while initially mechanical engineering, is augmented by a PGD in AI, demonstrating a clear career pivot and commitment to the field. The diversity of personal projects (spam detection, invoice extraction, startup prediction, house price prediction, hand tracking) indicates a proactive learning approach and a broad interest in applying AI to various domains. However, the lack of detailed team-based project descriptions or contributions makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse AI/ML problems, suggesting adaptability. The freelance experience implies self-direction and client collaboration. However, without specific psychometric test results or interview data, a detailed assessment of soft skills, stress handling, and team collaboration is not possible.