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AI Engineer with less than a year in Generative AI, LLMs, and RAG systems.
AI Engineer with a strong foundation in Generative AI and LLM Engineering, complemented by practical experience in developing and deploying real-world AI applications. Proven ability to translate business requirements into customized technical solutions, as demonstrated by successful projects like an AI agent system, a resume critiquer, and several client-facing platforms. Proficient in Python, FastAPI, RAG, and machine learning, with a focus on delivering scalable and performant AI-driven solutions.
Innomatics Research Labs
Data Science · Python, Statistics, Data Analysis, SQL + PowerBI, ML, NLP, Generative AI
August 1, 2025 – June 30, 2026
TSWRDC(W) Jagathgirigutta, Affiliated to Osmania University
B.Sc. · Data Science
August 1, 2023 – June 30, 2025
AI Agent System
January 1, 2026 – June 1, 2026
Built an AI agent using LangChain and LangGraph based on the ReAct (Reason + Act) framework. Developed a system that understands user input and selects the appropriate action or tool, integrating tools such as Calculator and Greeting for task execution. Used LLMs for reasoning, decision-making, and response generation, and managed multi-step workflows using LangGraph orchestration. Implemented real-time response streaming for improved user experience. Improved system performance by fixing tool errors and optimizing workflows. Applied prompt engineering techniques to improve response accuracy. Tested multiple LLMs (OpenAI, Gemini) for performance and cost optimization. Simulated basic retrieval-style responses (RAG-like behavior).
View ProjectAI Resume Critiquer
January 1, 2026 – June 1, 2026
Built an AI-powered resume evaluation system to analyze resumes and provide improvement suggestions. Used LLMs and prompt engineering to review resume content, formatting, and keyword relevance. Generated personalized feedback to improve ATS compatibility and overall resume quality. Automated resume screening workflow to identify missing skills and weak sections. Improved output quality through iterative prompt testing and response refinement. Designed a user-friendly system for resume optimization and career support.
View ProjectThe Complete AI Guide: Learn ChatGPT, Generative AI & More
Unknown
June 1, 2026 – Present
Google NotebookLM – AI Research Tool
June 1, 2026 – Present
Python Programming Certification
Unknown
June 1, 2026 – Present
Data Analyst Training
Centum Foundation (Supported by HCL Foundation)
June 1, 2026 – Present
Advanced Python Programming by Raspberry PI
Raspberry PI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest and initiative in the AI domain through personal projects and relevant certifications. The projects are directly aligned with an 'AI Engineer' role, indicating a clear career focus. The breadth of skills covers core programming (Python, FastAPI), Generative AI, RAG, and some ML/NLP, which aligns well with modern AI development. The lack of professional experience means cultural fit related to team dynamics and corporate environments cannot be fully assessed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to understand user needs and iterate on solutions (e.g., improving system performance, refining output quality). The focus on user experience (real-time streaming, user-friendly systems) suggests a user-centric approach. However, without completed psychometric or English tests, a comprehensive assessment of communication, logical reasoning, work attitude, stress handling, and team collaboration is not possible.