AI Engineer with less than a year in Machine Learning, Deep Learning, and Generative AI.
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Data Science graduate with hands-on experience in Machine Learning, Deep Learning, Generative AI, and Data Analytics. Skilled in Python, SQL, Power BI, FastAPI, and building end-to-end ML, Computer Vision, and RAG-based AI applications through internships and real-world projects.
Gaya College of Engineering
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Deepspatial AI
Data Science Intern – (Xploor Program)
January 1, 2025 – June 1, 2025
India
Infosys Springboard
AI Project Intern
November 1, 2024 – January 1, 2025
India
IntelliSearch – Adaptive RAG AI Assistant (GenAI)
June 1, 2026 – Present
Built an Adaptive Retrieval-Augmented Generation (RAG) system for document-based QA using LangGraph agentic workflows and intelligent query routing. Implemented FAISS vector store with Sentence Transformers embeddings and integrated Groq LLAMA 3.1 for semantic retrieval and response generation. Developed Corrective RAG (CRAG) with document relevance grading, query rewriting, and response verification to reduce hallucinations. Built a FastAPI backend with MongoDB Atlas for multi-session chat history and document ingestion. Created a Streamlit chat interface supporting PDF/TXT uploads and conversational document search.
View ProjectCredit Card Customer Transaction Analysis (Power BI)
June 1, 2026 – Present
Developed a 2-page Power BI dashboard to analyze customer revenue, interest, and transaction trends. Created DAX measures and data models to track KPIs including Revenue and Total Interest. Analyzed spending behavior across education level, occupation, card category, and expenditure type. Segmented customers by age, income, marital status, and geography to identify high-value groups. Generated actionable insights to support customer targeting and business decision-making.
View ProjectCredit Card Fraud Detection
June 1, 2026 – Present
Analyzed 284K+ transaction records and performed EDA, correlation analysis, and feature engineering. Addressed class imbalance using SMOTE, Random Oversampling, and ADASYN techniques. Trained and evaluated Logistic Regression, KNN, Decision Tree, Random Forest, XGBoost, and SVM models. Applied Stratified K-Fold and Repeated K-Fold Cross Validation for robust model evaluation. Tuned XGBoost using RandomizedSearchCV and achieved a ROC-AUC score of 0.926.
View ProjectBank Loan Analysis Dashboard (Python / Pandas / Plotly)
June 1, 2026 – Present
Analyzed 38,576 loan applications across 24 features using Python and Pandas. Calculated key lending KPIs including 86.2% Good Loan Ratio, $435M Total Funded Amount, and $473M Total Amount Received across 38,576 loan applications. Built monthly trend analysis for loan applications, funding, and repayments using time-series aggregation. Designed interactive Plotly dashboards for state-wise funding and loan purpose analysis. Generated business insights to evaluate loan portfolio quality and lending performance.
View ProjectPower BI Job Simulation
PwC Switzerland (Forage)
June 15, 2026 – Present
Career Essentials in Business Analysis
Microsoft LinkedIn
June 15, 2026 – Present
Data Science & Machine Learning Program
PYSpiders(Bengaluru)
June 15, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering GenAI, traditional ML, and data analytics, which shows a broad interest and adaptability. The personal projects and internships indicate a proactive learning attitude. The target role of 'AI Engineer' aligns well with the candidate's recent focus on GenAI and MLOps-related tasks (FastAPI endpoints). However, the candidate is still an undergraduate, which might imply less real-world team collaboration experience compared to a seasoned professional, potentially impacting cultural fit in a senior role without further validation.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex projects like Adaptive RAG and fraud detection. The detailed project descriptions suggest good communication of technical work. The variety of projects indicates an ability to work independently and manage project scope. However, without direct interview data, assessing stress handling, team collaboration, and direct communication clarity in a team setting is difficult.