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AI Engineer with less than a year in deep learning, MERN stack, and data analysis, graduating in 202
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual pursuing a B.Tech in Computer Science (AI and ML specialization) with a minor in Business Intelligence. Possessing hands-on experience in developing AI-powered solutions, MERN stack applications, and data analysis through internships and projects. Skilled in Python, machine learning frameworks like TensorFlow and PyTorch, cloud platforms, and equipped with strong problem-solving and analytical abilities.
UPES University
BTech Computer Science Spz. AI and ML · Computer Science with Specialization in AI and ML
N/A – June 30, 2025
Sanyogita Ganj HS school
12th Standard
N/A – May 31, 2020
Chavara Vidyapeeth
10th Standard
N/A – May 31, 2018
IBM
Project intern
June 1, 2024 – July 1, 2024
India
EARTHRAQSHAK
Survey analyst
June 1, 2022 – July 1, 2022
India
CRM System (MERN Stack)
August 1, 2024 – January 1, 2025
Built a CRM system using the MERN stack with user authentication and lead management. Integrated WhatsApp and email APIs for real-time communication. Designed RESTful APIs and ensured seamless frontend-backend interaction using fetch.
Paralegal.AI (Legal assistance)
January 1, 2024 – May 1, 2024
Built a scalable AI-powered legal research tool using LLaMA 2, RAG, and semantic search for precise case retrieval and summarization. Automated legal workflows with features like advanced search, document generation, and client interaction modules. Delivered a user-friendly solution emphasizing high accuracy, data security, and context-aware results for diverse legal professionals.
YOGAMATE (Personalized yoga trainer in pocket)
September 1, 2023 – December 1, 2023
Developed a real-time yoga posture detection system using CNNs, achieving high accuracy through data augmentation, transfer learning, and hyperparameter tuning. Integrated OpenCV for live video processing and TensorFlow/Keras for model training and deployment. Enabled instant feedback on posture accuracy, supporting personal fitness tracking and virtual yoga training application.
Debugging Apps on Google Kubernetes Engine
Google cloud
June 1, 2026 – Present
Generative AI for Data Science
Microsoft
June 1, 2026 – Present
Master - MongoDB
GUVI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from MERN stack development to advanced AI applications, indicates a broad interest and adaptability. The focus on AI/ML in academic projects and the IBM internship aligns well with an AI Engineer role. The certifications in GKE, Generative AI, and MongoDB show a proactive approach to learning and skill development, which is a positive cultural indicator. The academic nature of most projects and limited professional experience suggest a need for mentorship and integration into a professional team.
Soft Skills & Operational Fit
The candidate demonstrates soft skills such as Research Analysis, Design Thinking, Project Management, Data-driven Decision Making, and Problem-Solving, which are valuable for an AI Engineer role. The academic projects show an ability to work on complex problems and deliver user-friendly solutions. The internship at IBM indicates an ability to work in a professional environment, though the duration was short. The survey analyst role, while not directly technical, shows experience in data organization, analysis, and visualization, which are transferable skills.