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Generative AI Engineer with 1+ years in data quality and a strong foundation in Python, ML, and NLP.
AI/ML professional transitioning into Generative AI and LLM engineering, with hands-on experience building RAG pipelines, prompt-engineering workflows, and LLM-integrated applications using Google Gemini and OpenAI APIs with LangChain. Strong foundation in Python, machine learning, NLP, and data analytics, with a track record of shipping end-to-end AI applications (document intelligence, predictive ML, automated analytics) using Streamlit. Combines production data-quality experience from geospatial systems with a growing engineering skill set in REST APIs and LLM application development. Currently upskilling in FastAPI, vector databases, Docker, and cloud deployment (AWS/Azure/GCP) to round out an end-to-end GenAI engineering toolkit.
Imarticus Learning
Post Graduate Program · Data Science & Data Analytics
August 1, 2025 – June 30, 2026
SRM PG College
Master of Computer Applications (MCA)
N/A – June 30, 2024
University College for Women
Bachelor of Science (B.Sc.)
N/A – June 30, 2022
GlobalLogic
Associate Analyst – Content Engineering (Mapping & POI)
May 1, 2024 – May 1, 2025
Hyderābād, Telangana, India
AI Resume Analyzer
June 1, 2026 – Present
Built an AI-powered Resume Analyzer using Python, Google Gemini 2.5 Flash, and Streamlit for intelligent, role-specific resume evaluation. Implemented PDF parsing and JD-vs-resume gap analysis to generate structured feedback via the Gemini API. Designed prompt engineering workflows and prompt chains to ensure consistent, accurate LLM responses. Built an interactive Streamlit UI integrating the full end-to-end document intelligence pipeline.
View ProjectAI Human Digital Twin for Productivity Prediction
June 1, 2026 – Present
Designed an AI-driven system analyzing user digital behavior to predict next-hour productivity using a custom time-series dataset (screen time, app usage, sleep, stress indicators). Engineered behavioral features (productivity ratio, distraction level, fatigue index) and built a Random Forest model for prediction and personalized recommendations. Developed an interactive Streamlit application to visualize predictions and deliver personalized focus/break suggestions.
View ProjectStory Graphs – AI-Powered Data Analysis & Reporting Tool
June 1, 2026 – Present
Developed an automated EDA and reporting tool in Python, implementing summary statistics, missing-value analysis, and dynamic visualizations. Automated repetitive data-analysis tasks and enabled export of professional, reproducible reports.
View ProjectGlobal Corporate Ecosystem Dashboard
June 1, 2026 – Present
Designed a multi-page Power BI dashboard analyzing workforce, attrition, leadership risk, and competitiveness metrics across countries and industries. Performed data transformation using Power Query and developed DAX measures for KPIs, with validation and consistency checks before deployment.
View ProjectOperating on Data in SQL
E-Learning Platform
June 1, 2026 – Present
Post Graduate Program in Data Science and Analytics with Advanced ML Track
Imarticus Learning
June 1, 2026 – Present
Data Analytics Job Simulation
Forage
June 1, 2026 – Present
Data Science Project Competition
Imarticus Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-powered resume analysis to productivity prediction and corporate dashboards, shows a broad interest in applying AI/ML across different domains. The pursuit of a Post Graduate Program in Data Science & Data Analytics, alongside a Master of Computer Applications, indicates a strong commitment to continuous learning and professional development. The target role of 'Generative AI Engineer' aligns well with the candidate's stated profile summary and recent project focus on LLMs and prompt engineering. However, the psychometric test score of 241/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration, which could impact cultural fit in a fast-paced, collaborative environment.
Soft Skills & Operational Fit
The candidate's experience in validating and cleaning large-scale datasets, designing accuracy checks, and standardizing workflows at GlobalLogic indicates a strong attention to detail and a methodical approach to data quality. This operational rigor is crucial for maintaining high standards in AI/ML data pipelines. The project descriptions suggest an ability to translate complex technical concepts into practical applications, demonstrating problem-solving and execution skills. The English test score of 94 indicates strong communication clarity and professional language usage.