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AI Engineer with less than a year in Data Visualization and AI/ML projects
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Assessing your cultural and operational fit
Computer Science undergraduate with strong problem-solving skills, a collaborative mindset, and effective communication abilities. Skilled in Data Structures & Algorithms, Backend Development (Python), and Machine Learning/LLMs, with hands-on experience building real-world projects.
Sagar Institute of Research & Technology, Bhopal
Bachelors of technology · Computer Science & Business Systems
August 1, 2022 – June 30, 2026
Anand Vihar School, Bhopal
CBSE Class 12th
June 1, 2021 – May 31, 2022
Anand Vihar School, Bhopal
CBSE Class 10th
June 1, 2019 – May 31, 2020
Infosys Springboard
Data Visualization Intern
February 1, 2026 – April 1, 2026
India
AI Nutrition Planner
June 24, 2026 – Present
Built an agentic AI system that reasons over user health inputs across multiple steps to generate personalized, adaptive nutrition plans — demonstrating LLM tool use, multi-step reasoning, and sequential decision-making. Designed the agent loop independently without following tutorials; iterated on prompt chaining and output validation logic until the system produced reliable, structured recommendations.
View ProjectDiabetes Prediction System
June 24, 2026 – Present
Engineered end-to-end ML pipeline: healthcare data set cleaning, feature engineering, classification model training, cross-validation, and hyperparameter tuning. Built and validated classification models using performance metrics and model optimization techniques; deployed real-time inference APIs using FastAPI and interactive dashboards for clinical decision support.
View ProjectRAG-Based LLM Application
June 24, 2026 – Present
Built a RAG-based system using LangChain and OpenAI LLMs for context-aware, document-grounded responses; integrated retrieval layer with LLM to improve answer accuracy and reduce hallucinations. Implemented document embeddings and vector search using FAISS/ChromaDB for semantic information retrieval; deployed an interactive Streamlit application with secure LLM API integration for real-time user interaction.
View ProjectGNN-LLM Hybrid Framework for Financial Forecasting
IIM Nagpur Conference
February 1, 2026 – Present
Oracle Cloud Infrastructure Generative AI Professional
Oracle University
January 1, 2025 – Present
Python for Data Science
NPTEL
January 1, 2025 – Present
Database Management Systems
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including healthcare prediction, nutrition planning, and RAG systems, demonstrates a broad interest in AI applications. The independent design of the agent loop and iteration on prompt chaining suggest a self-starter mentality. The research paper on GNN-LLM hybrid frameworks indicates an interest in cutting-edge AI research. However, the limited professional experience (one internship) and academic background (currently an undergraduate) suggest a need for mentorship and structured team environments to fully integrate into a senior-level role. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical skills and project focus.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills, a collaborative mindset, and effective communication abilities. The project descriptions indicate an ability to design and iterate on complex systems independently, suggesting a good fit for roles requiring initiative and critical thinking. The internship experience also shows an ability to deliver insights to non-technical stakeholders, which is crucial for operational roles.