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Generative AI Engineer with 1+ years in Machine Learning & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year M.Tech student in Computer Science (Business Analytics) at VIT Chennai with hands-on experience building and deploying end-to-end ML and GenAI applications spanning NLP, deep learning, and predictive analytics. Proficient in Python, Scikit-learn, TensorFlow, Pandas, SQL, and Streamlit with strong skills in EDA, feature engineering, and dashboard development. Eager to apply machine learning and statistical modelling to solve real-world problems in data-driven organisations.
Vellore Institute of Technology, Chennai
Integrated M.Tech in Computer Science (Business Analytics) · Computer Science (Business Analytics)
August 1, 2022 – Present
Dance Club, VITC
Team Lead
July 1, 2025 – Present
India
Smart Interviews
DSA Trainee
April 1, 2025 – September 1, 2025
India
Intelligent Customer Behavior Analytics System
June 1, 2026 – Present
Built ML pipeline using Random Forest, K-Means, and Isolation Forest for user behavior analysis, anomaly detection, and churn prediction. Performed EDA including data cleaning, feature engineering, and statistical analysis then deployed interactive Streamlit dashboard for BI reporting.
Counterfeit Medicine Detection using Siamese Neural Networks
June 1, 2026 – Present
Built Siamese Neural Network (ResNet18) pipeline for pharmaceutical image similarity comparison achieving 76.9% accuracy in counterfeit detection. Deployed real-time web application for healthcare product validation directly relevant to pharma quality assurance and patient safety.
Fake Job Detection using NLP
June 1, 2026 – Present
Built NLP text classification pipeline using TF-IDF vectorization and Logistic Regression achieving ~85% accuracy through optimized preprocessing and feature engineering. Designed end-to-end model evaluation framework with precision, recall, and F1-score benchmarking for reliable classification.
GenAI-Based Real-Time Investment Advisory System
June 1, 2026 – Present
Designed multi-agent GenAI pipeline using CrewAI with 4 autonomous LLM agents for real-time sentiment analysis and investment recommendation generation. Achieved 88.9% sentiment accuracy, ROUGE-L F1 of 0.73, and sub-2-second latency with Flask backend and real-time monitoring dashboard.
BCG X Data Science Job Simulation
Boston Consulting Group, Forage
June 1, 2026 – Present
SQL and Relational Databases
IBM SkillsBuild
June 1, 2026 – Present
Python Development
Pinnacle Labs
June 1, 2026 – Present
Smart India Hackathon 2025
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in diverse applications of AI, from finance to healthcare and customer analytics, indicating adaptability and a broad problem-solving mindset. Participation in Smart India Hackathon and BCG X Data Science Job Simulation suggests a proactive, competitive, and learning-oriented individual. The 'Team Lead' role, while non-technical, points to teamwork and leadership potential. However, the lack of professional work experience beyond internships means cultural fit in a corporate engineering environment is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through their 'Team Lead' role in a dance club, indicating organizational and collaborative skills. The DSA trainee experience suggests a proactive approach to problem-solving and continuous learning. However, the professional experience is limited to academic and internship roles, which might require more structured operational guidance in a senior engineering role.