AI Research Engineer with 1+ years in AI, data science, and machine learning applications.
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Assessing your cultural and operational fit
Researcher at Council of Scientific and Industrial Research with experience in AI, data science, and machine learning applications. Pursuing a B.Tech in Artificial Intelligence and Data Science from Guru Gobind Singh Indraprastha University. Former intern at National Institute of Electronics and Information Technology and CSIR-National Physical Laboratory, skilled in LLMs, RAG, scholarly research, and AI-driven solutions.
University School of Automation & Robotics (USAR)
B.Tech. · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
GOVT. BOYS SR. SEC. SCHOOL MANDOLI DELHI-93
12th · CBSE
June 1, 2020 – May 31, 2020
Govt. Boys Sr. Sec. School Saboli Delhi-93
10th · CBSE
June 1, 2018 – May 31, 2018
CSIR
Research Intern
September 1, 2025 – Present
India
NIELIT-India
AI Engineer
February 2, 2025 – August 31, 2025
India
CSIR - NATIONAL PHYSICAL LABORATORY
Data Engineer
July 1, 2024 – August 1, 2024
India
CSIR BDG Connect – Business Development Management Portal
March 1, 2026 – August 1, 2026
Developed a centralized full-stack web portal for the Council of Scientific and Industrial Research Business Development Group (BDG) to manage, monitor, and analyze business development activities across multiple CSIR labs. The platform includes role-based access control, dashboard analytics, CRUD operations, and centralized data management using React.js, Node.js, Express.js, and PostgreSQL.
Customer Churn Prediction Using Artificial Neural Network
April 1, 2024 – May 1, 2024
Customer churn prediction is critical for businesses, particularly in subscription-based industries like telecommunications, finance, and SaaS. Churn prediction helps companies identify customers likely to leave, enabling proactive measures to retain them.
C&G Audit Validation using LLM
January 1, 2024 – March 1, 2024
Designed and developed an intelligent validation system for audit reports using Large Language Models (LLMs). Integrated PDF parsing and rule-based validation mechanisms to automate the verification of compliance with audit guidelines. Leveraged NLP techniques and prompt engineering to extract key information and cross-check it against audit rules. Enabled enhanced audit accuracy and reduced manual effort through semantic analysis and custom evaluation pipelines.
AI Development Associate
NIELIT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including both academic and professional projects, and internships at government/research institutions, indicates adaptability and a broad interest in applying AI/Data Science across different domains. The target role of 'AI Research Engineer' aligns well with the candidate's academic focus (AI & Data Science) and practical experience with LLMs and machine learning. The breadth of skills listed (ML, LLM, Data Science, Python, C++, SQL, DBMS, Cloud Computing) suggests a versatile individual who could integrate well into a research-oriented team.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and practical application through multiple internships and academic projects. The descriptions suggest an ability to work on complex technical problems and contribute to data-driven decision-making. However, the provided data does not offer direct insights into communication style, teamwork, or stress handling, as psychometric and English test scores are zero.