AI Engineer with less than a year in Machine Learning, Generative AI, and LLM-powered applications.
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Assessing your cultural and operational fit
B.Tech Computer Science student specializing in Artificial Intelligence, Machine Learning, and Generative AI. Experienced in building LLM-powered applications, AI assistants, Explainable AI systems, and scalable ML workflows using Python, TensorFlow, React, and Node.js. Interested in ML Engineering, GenAI applications, and deployment-ready AI systems.
University of Petroleum and Energy Studies (UPES)
Bachelor of Technology · Computer Science Engineering
October 1, 2022 – June 30, 2026
NIT Patna
AI/ML Research Intern
July 1, 2025 – September 1, 2025
Patna, Bihar, India
IBM
Machine Learning Intern
June 1, 2025 – July 1, 2025
India
Aarambh Ek Pahal
Social Intern
May 1, 2023 – August 1, 2023
India
Medical Diagnosis Assistant
June 24, 2026 – Present
Built an Explainable AI healthcare system for lung cancer detection using machine learning models. Used SHAP visualization techniques to improve prediction transparency and model interpretability. Optimized preprocessing and prediction workflows for reliable healthcare AI inference. Designed modular architecture for future API integration and scalable deployment.
View ProjectMentor Allocation System
June 24, 2026 – Present
Created an automated mentor-allocation system using rule-based matching logic. Integrated frontend UI with backend allocation workflows for efficient mentor assignment. Designed relational database mapping for mentor specialization and student allocation. Implemented structured workflow management and backend logic optimization.
View ProjectDomestic Ease
June 24, 2026 – Present
Developed a scalable home-care service platform using React frontend and Node.js backend. Integrated Gemini API to build an AI-powered chatbot for intelligent user support and service guidance. Implemented secure backend APIs aligned with scalable integration architecture principles. Designed modular service components following microservices-ready backend architecture. Applied prompt engineering concepts for conversational AI interactions and response generation.
View ProjectMovie Recommendation System
June 24, 2026 – Present
Built a recommendation engine using machine learning models and user preference datasets. Applied feature engineering techniques to improve recommendation quality and relevance. Optimized prediction workflows using TensorFlow models and scalable ML pipelines. Improved personalized recommendation performance using data-driven learning techniques.
View ProjectIBM Machine Learning Internship Certificate
IBM
June 1, 2026 – Present
Explainable AI Research Internship Certificate
NIT Patna
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a diverse range of applications, from healthcare AI to home-care service platforms and recommendation systems, indicating adaptability and a broad interest in applying AI solutions. The involvement in a social internship also suggests a potential for community engagement. The focus on explainable AI and ethical considerations in projects aligns with responsible AI development practices, which is a positive indicator for cultural fit in forward-thinking organizations. However, as a student, the breadth of professional experience is naturally limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex systems, integrate various technologies, and consider aspects like interpretability and scalability. The internship experiences suggest a capacity for structured research and development within a team context. However, without direct assessment data on soft skills, a comprehensive evaluation of operational fit is limited.