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Generative AI Engineer with less than a year in API Development & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and analytical MCA student and aspiring Generative AI Engineer with a strong foundation in Python, API development, and machine learning. Experienced in building AI-powered solutions, conversational chatbots, and scalable backend architectures using FastAPI, Flask, and Docker. Possesses a solid understanding of Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) methodologies. Eager to bring a fresh perspective, strong problem-solving skills, and collaborative energy to develop cutting-edge intelligent applications and scalable cloud-native deployments.
Amity University Bengaluru
Master of Computer Applications (MCA) · Computer Science
August 1, 2024 – Present
CRESTA, Mysore
Bachelor of Computer Applications · Cloud Computing & Data Science
August 1, 2021 – June 30, 2024
Valuedx
ITPA Developer Intern
March 1, 2026 – Present
Pune, Maharashtra, India
AI-Powered Healthcare Analytics & RAG Chatbot (Mitra)
March 1, 2026 – Present
Built a conversational healthcare intelligent agent using Python, Node.js, and MongoDB, integrating NLP and prompt engineering to safely handle real-time medical queries. Engineered a data retrieval pipeline mirroring RAG principles, structuring raw clinical data and connecting it to predictive models served via efficient REST APIs. Optimized data extraction and preprocessing workflows, improving the accuracy of LLM-driven interactions and overall system reliability.
Dockerized API Observability Platform
March 1, 2026 – Present
Developed an enterprise-grade, Dockerized monitoring platform featuring secure API endpoints for registration, health checks, and backend analytics. Gained hands-on experience with cloud deployment fundamentals, utilizing Redis caching and APScheduler for optimized, high-performance data retrieval. Designed an interactive Streamlit dashboard to visualize system performance, demonstrating strong analytical tracking capabilities.
Real-Time Data Processing & Sentiment Analysis
March 1, 2026 – Present
Designed an end-to-end data pipeline utilizing Python, TensorFlow, and YOLOv8 for real-time inference and unstructured data processing. Built an NLP sentiment analysis pipeline, extracting, cleaning, and structuring continuous text data to prepare it for machine learning environments.
Data Analysis with Python
freeCodeCamp
June 1, 2026 – Present
Fundamentals of Data Analytics
NASSCOM
June 1, 2026 – Present
Automation Edge (Intermediate Level)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and initiative in AI and data science, aligning well with an innovative and technically driven culture. The diversity of projects, from healthcare analytics to API observability and real-time data processing, shows a broad technical curiosity. The ongoing Master's degree and certifications indicate a commitment to continuous learning. However, the experience level is very junior (internship), which might require a culture that supports significant mentorship and growth.
Soft Skills & Operational Fit
The candidate's resume highlights analytical thinking, complex problem-solving, and cross-functional collaboration, which are crucial for a Generative AI Engineer role. The internship experience at Valuedx also mentions effective communication and troubleshooting skills, indicating a good operational fit for team environments. However, without specific psychometric or English test scores, a deeper assessment of soft skills and operational fit is limited.