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AI Engineer with 2+ years in data management & GenAI applications.
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Data Science professional with 2+ years of experience in software development and data management. Skilled in Python, SQL, and Scikit-learn with hands-on projects in NLP, Generative AI, RAG, and LLMs. Completed a PGP in Data Science with GenAI specialization at Great Learning.
Great Learning
Post Graduate Program in Data Science (Specialization in GenAI) · Data Science
August 1, 2025 – June 30, 2026
Adi Shankara Institute of Engineering and Technology, Kalady
B.Tech · Computer Science
August 1, 2019 – June 30, 2023
Logiklee Digital
MDM/PIM Implementation Consultant
January 1, 2024 – September 1, 2025
Surat, Gujarat, India
ClaySys Technologies
Software Analyst
August 1, 2023 – January 1, 2024
Cochin, Kerala, India
Exploratory Data Analysis - BMW & Zomato Datasets
June 23, 2026 – Present
Conducted deep-dive analysis on Zomato restaurant data (500+ restaurants) to identify user behavior patterns, food trends, and rating anomalies; analysed BMW pricing data to surface key factors influencing resale value. Tools: Python, Pandas, Matplotlib, Seaborn.
AI-Powered ML Insights App
June 23, 2026 – Present
Built an end-to-end ML pipeline that auto-detects classification or regression tasks, trains multiple models in parallel, and generates AI-written performance summaries. Tools: Python, Scikit-learn, Gemini API, Streamlit.
The Smart Container (IoT + Android)
June 23, 2026 – Present
IoT-based kitchen monitoring system with Android app notifications. Awarded Best Project at an International Conference (College of Engineering Perumon). Tools: Arduino IDE, Android Studio, Python.
Airline Passenger Satisfaction Prediction (Capstone Project)
June 23, 2026 – Present
Applied ML algorithms (Logistic Regression, Random Forest, XGBoost) on 130K+ records to predict passenger satisfaction. Conducted statistical analysis, feature engineering, and model evaluation achieving ~87% accuracy. Tools: Python, Scikit-learn, Pandas.
GenAI Applications – RAG & Vision AI
June 23, 2026 – Present
Built two LLM-based analytical applications: (1) RAG-based PDF Q&A system using HuggingFace, FAISS, and LangChain for document retrieval and insight extraction; (2) multimodal Structural Defect Detection app generating structured analytical reports. Tools: Python, LangChain, FAISS, Gemini API, HuggingFace, Streamlit.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML and GenAI, aligning well with an AI Engineer role. The diversity of projects, from academic capstones to personal GenAI applications and IoT, indicates a proactive and curious mindset. Experience in both software analysis and MDM/PIM consulting suggests adaptability and a broad technical interest, which can be beneficial for diverse team environments. However, the professional experience is not directly in AI/ML engineering, which might require a cultural adjustment to a more specialized role.
Soft Skills & Operational Fit
The candidate has experience in stakeholder management, translating business requirements into technical solutions, and contributing to cross-functional sprint teams, indicating good operational fit and communication skills. The ability to track and resolve Jira tickets suggests organizational and problem-solving capabilities.