Generative AI Engineer with less than a year in Python & LLMs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on experience building AI-powered applications using Python, APIs, LLM workflows, and cloud-based deployment practices. Strong fit for Generative AI Engineer roles involving prompt engineering, RAG pipelines, vector databases, FastAPI services, Dockerized deployments, and AI-powered chatbot or agent workflows. Analytical, fast-learning, and comfortable turning AI concepts into practical product features.
Dr. Babasaheb Ambedkar Technological University
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
AI Resume Analyzer
August 1, 2022 – June 1, 2026
Built AI-driven workflows that analyze resume content and generate structured outputs using Python-based backend logic and API integration. Improved result quality through prompt refinement, output validation, and debugging across end-to-end flows. Supported containerized deployment and testing using Docker and cloud-based environments.
ProposalPilot SaaS MVP
August 1, 2022 – June 1, 2026
Contributed to AI-powered application workflows involving structured input, generated output handling, and API-driven logic. Helped refine content generation behavior by validating outputs and improving reliability across user-facing flows.
Generative AI Synthetic Data Pipeline
August 1, 2022 – June 1, 2026
Developed modular Python workflows for AI-related data generation and processing, with emphasis on repeatability and quality checks. Used logs, anomaly detection, and validation steps to improve consistency of generated outputs.
Oracle Cloud Infrastructure 2025 AI Foundation Associate
Oracle
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Azure Cognitive Services project exposure
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic, focusing on Generative AI applications, which aligns well with the target role. The diversity of projects (resume analyzer, SaaS MVP, synthetic data pipeline) shows a breadth of application areas within AI. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate environment. The certifications indicate a drive for continuous learning, which is a positive cultural trait.
Soft Skills & Operational Fit
The candidate highlights problem-solving, analytical thinking, communication, and collaboration as strengths. Project descriptions indicate an ability to work on end-to-end flows and improve reliability, suggesting a practical and detail-oriented approach. The academic projects, while valuable, do not provide sufficient insight into real-world team collaboration or handling complex operational challenges.