Data Science with 1+ years in NLP, RAG & LLM applications.
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Assessing your cultural and operational fit
Data Scientist and AI Engineer with a B.Tech in Artificial Intelligence, skilled in Python, SQL, Power BI, Machine Learning, NLP, RAG, and LLM application development. Experienced in building production-grade AI systems, end-to-end ML pipelines, and analytics solutions for recruitment and interview automation at Stellarvida E-Learning.
Anurag University
Bachelor of Technology (B.Tech) · Artificial Intelligence
August 1, 2021 – June 30, 2025
Stellarvida E-Learning Pvt Ltd (Vida IT Services Group)
Data Scientist
March 1, 2025 – April 1, 2026
Hyderābād, Telangana, India
Stellar Recruitment - AI-Powered Recruitment Platform
June 1, 2026 – Present
AI recruitment platform that parses resumes, generates semantic embeddings, performs vector similarity search, and auto-sends personalized candidate outreach emails.
AI-Driven Interview Automation using LLM
June 1, 2026 – Present
AI interview tool with resume parsing and voice interaction for dynamic question-answer simulation.
View ProjectMock Interview Assistant - AI Interview Preparation Platform
June 1, 2026 – Present
AI interview platform for personalized answers via LLaMA 3.3 with a RAG pipeline, Whisper ASR for voice, and SQLite for session persistence.
View ProjectPython Essentials 1 & 2
Cisco
June 1, 2026 – Present
Enterprise Data Science
IBM
June 1, 2026 – Present
Enterprise-grade AI
IBM
June 1, 2026 – Present
AI/ML Virtual Internship
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are diverse within the AI/ML domain, focusing on recruitment and interview automation, which aligns well with innovative and product-driven environments. The listed certifications from IBM, Google, and Cisco demonstrate a proactive approach to learning and skill development. The target role of Data Science is well-aligned with the candidate's education in Artificial Intelligence and practical experience. The breadth of skills across different LLMs and frameworks suggests adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving', 'Team Collaboration', and 'Quick Learning' as soft skills. The project descriptions indicate an ability to work on complex AI systems, suggesting good problem-solving capabilities. The experience in deploying production systems implies an understanding of operational aspects, though specific details on collaboration within a team are limited to the listed soft skill.