Help & Supportcareers@gravityer.com
AI Engineer with less than a year in LLMs & RAG
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with hands-on experience in LLM-powered applications, agentic systems, and RAG pipelines. Proficient in Python, Java, FastAPI, and LangChain, with a strong foundation in Machine Learning, NLP, and scalable backend development. Passionate about building production-ready AI solutions.
Nutan College of Engineering & Research
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2025
Novel College of Science and Commerce
Higher Secondary Certificate (HSC) · Science Stream
June 1, 2019 – May 31, 2021
Bajaj Life Insurance
AI Engineer Intern
January 1, 2026 – April 1, 2026
Pune, Maharashtra, India
Bajaj Technology Services
Software Developer Intern
June 1, 2025 – December 1, 2025
Pune, Maharashtra, India
Agentic LLM Power BI Analytics System
June 24, 2026 – Present
• Developed an agentic AI system integrating LLMs with Power BI to enable natural language-driven data analytics and dynamic visualization generation • Designed intelligent agents using LangChain to autonomously process user queries, generate insights from structured datasets, and produce automated reports • Built scalable FastAPI backend for query handling and Power BI integration, with Pandas pipelines enabling non-technical users to interact with business data via conversational AI
AI-Based Video Summarization System
June 24, 2026 – Present
• Built end-to-end AI system to generate concise text summaries from long-form videos using NLP and deep learning models • Implemented speech-to-text pipeline with key-frame extraction and keyword detection for automated highlight generation • Optimized model inference speed by 40% through efficient preprocessing and caching strategies within a scalable backend architecture
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with the target role of an AI Engineer, focusing on cutting-edge AI applications like LLMs, RAG, and agentic systems. The diversity in projects (Power BI integration, video summarization, chatbots) indicates adaptability and a broad interest within the AI domain. The experience with both AI-focused and general software development roles suggests a well-rounded technical background, which is beneficial for cultural fit in a dynamic tech environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying advanced AI concepts. Their project descriptions indicate an ability to work on end-to-end systems and optimize performance. The internship experience suggests an understanding of enterprise environments and client-facing solutions. However, without specific psychometric or English test scores, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be fully provided.