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AI Engineer with less than a year in LLM-powered pipelines & AI/ML.
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Assessing your cultural and operational fit
Passionate AI/ML Engineer and final-year Computer Science student with hands-on experience building LLM-powered pipelines, Generative AI applications, and AI-powered automation solutions. Proficient in Python, Machine Learning, Deep Learning, and Generative AI frameworks. Skilled in integrating OpenAI and Anthropic APIs, Prompt Engineering (few-shot, chain-of-thought, RAG), and deploying LLMs in production workflows. Experienced with AI-powered content automation, data processing, and research and experimentation with emerging AI technologies. Self-motivated with a strong willingness to learn and experiment - immediate joiner eager to contribute to innovative real-world AI projects.
Accurate Institute of Management and Technology
B.Tech · Computer Science & Technology
August 1, 2022 – June 30, 2026
Ethara.AI
LLM Engineer Intern
February 1, 2026 – May 1, 2026
Gurgaon, Haryana, India
EbixCash Pvt. Ltd.
Cybersecurity & Networking Intern
September 1, 2024 – October 1, 2024
Delhi, Delhi, India
AI-Powered Content Management Portal
June 6, 2026 – Present
Developed a Flask-based web portal integrating OpenAI and Anthropic APIs to automate AI-assisted content generation, editing, and publishing workflows, directly supporting LLM integration and deployment practices. Implemented full CRUD functionality with MySQL for secure content storage and retrieval; applied prompt engineering strategies to improve AI-generated content quality and consistency. Performed thorough testing, debugging, and performance optimization of the AI pipeline to ensure consistent application quality, usability, and reliability under varied operational conditions.
Customer Churn Prediction & Analysis
June 6, 2026 – Present
Analyzed 7,043 telecom records using machine learning and AI techniques to identify churn patterns; built classification models with Scikit-learn and performed end-to-end data preparation, feature engineering, and model evaluation (accuracy, precision, recall). Generated 11 Power BI visualizations to highlight at-risk customer segments, revealing that 38% of churned users were on short-term monthly plans and providing AI-driven insights for early engagement strategies. Queried and transformed multi-table datasets using Advanced SQL (Joins, CTEs, Window Functions) to build consistent, analysis-ready datasets that fed the machine learning pipeline.
Data Analytics
Code With Harry
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Data Analytics and Visualization
Accenture
June 1, 2026 – Present
Python Programming
OpenWeaver
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experience show a strong alignment with AI/ML and Generative AI, which is highly relevant for an AI Engineer role. The diversity in projects (churn prediction, content management) and the cybersecurity internship indicate a broad technical curiosity and willingness to explore different domains. However, as a final-year student, the depth of experience in collaborative, large-scale enterprise environments is limited, which might impact cultural fit in a highly structured corporate setting without further mentorship.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and experimentation, as evidenced by their professional summary and diverse project work. Their experience in documenting technical procedures suggests an organized approach to knowledge sharing. The cybersecurity internship, while not directly AI-related, indicates a breadth of technical interest and problem-solving skills. However, as a final-year student with limited professional experience, their operational fit in a senior role would require further assessment of their ability to handle complex, ambiguous, and high-pressure production environments.