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Generative AI Engineer with less than a year in LangChain & FastAPI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Generative AI Engineer and Computer Science student passionate about building AI-powered solutions and integrating Large Language Models (LLMs) into scalable web applications. Proven experience designing RAG pipelines, engineering FastAPI backends, and deploying intelligent workflows using modern containerization. Adept at leveraging analytical problem-solving skills to build cutting-edge, LLM-based solutions in fast-paced collaborative environments.
Jawaharlal Darda Institute of Engineering & Technology, Yavatmal
Bachelor of Engineering · Computer Science
N/A – June 30, 2026
AI-Powered Recipe Generator
June 1, 2026 – Present
Developed a smart, generative AI-powered web application utilizing Python and FastAPI for high-performance backend routing to dynamically generate personalized recipes. Engineered and integrated LLM-based solutions via OpenAI and Gemini APIs, heavily utilizing prompt engineering to ensure highly accurate, conversational outputs. Designed a robust database structure with MySQL to store user preferences and prompt history, optimizing the data flow for future AI agent integrations.
Startup Nest
January 1, 2026 – Present
Architected a cloud-based application using React.js and Firebase to bridge the gap between students and startups. Designed an intelligent AI workflow and RAG pipeline utilizing LangChain and Vector Databases to power an automated ATS resume scanning feature for recruiters. Implemented secure user authentication and real-time database management to handle hundreds of concurrent project listings and AI interactions. Deployed and optimized the application ecosystem using Docker, ensuring high availability and seamless cross-device responsiveness.
View ProjectEnterprise Security: Artificial Intelligence, Generative AI, & Cybersecurity
Infosys Springboard
June 1, 2026 – Present
Core Java Specialized Certification
Internshala
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in innovative AI solutions, aligning well with a Generative AI Engineer role. The diversity of projects (recipe generator, startup platform) shows a breadth of application interests. The candidate is still pursuing a Bachelor's degree, which suggests a learning-oriented mindset. However, the lack of professional experience means cultural fit is primarily inferred from project descriptions and self-driven learning, which might not fully reflect workplace dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems, indicating strong problem-solving skills. The use of Docker and cloud platforms implies an understanding of operational aspects and deployment. However, without direct interview data, assessing collaboration, stress handling, and work attitude is limited. The psychometric test score is 0, which provides no insight into these areas.