Python Engineer with less than a year in Backend Development and AI/ML
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Assessing your cultural and operational fit
I'm a final-year Computer Science student with strong skills in Python and backend development using Flask and Django. I have hands-on experience with LLMs and NLP, working with tools like OpenAI APIs, LangChain, and vector databases. During my internship, I built AI-based systems involving data processing and prediction. I'm interested in building LLM-powered applications, RAG pipelines, and real-world AI solutions. I enjoy experimenting, learning fast, and solving practical problems.
JECRC University Jaipur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Infosys Springboard
Internship
August 1, 2025 – November 30, 2025
India
End-to-End Source Code Analysis Tool
May 1, 2025 – June 1, 2026
Built a Generative AI-powered application to analyze GitHub repositories and enable natural language interaction with source code. Integrated LangChain and ChromaDB for semantic retrieval and repository insights. Implemented a conversational Q&A system using OpenAI GPT models, allowing developers to query and explore codebases. Deployed an end-to-end solution with Flask, supporting repository cloning, indexing, and interactive analysis.
View ProjectHeart Disease Prediction System
April 1, 2025 – June 1, 2026
Developed a role-based web application (Admin, Doctor, Patient) using Django for heart disease prediction. Achieved 85% accuracy using Gradient Boosting on real medical datasets. Integrated user authentication, feedback module, and interactive data visualization dashboards. Utilized Pandas, NumPy, and Scikit-learn for data preprocessing, model training, and evaluation.
View ProjectGenerative models for developers
Infosys Springboard
June 1, 2025 – Present
Database for Developers Foundations
Oracle
April 1, 2025 – Present
Google Cloud Computing Fundamentals
October 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including a medical prediction system and a source code analysis tool, demonstrates a broad interest in applying technical skills to different domains. The involvement in hackathons and university representation suggests a proactive and engaged individual. The skills listed (Python, Django, Flask, ML, LLMs, databases) align well with a modern, data-driven engineering culture. The academic background and internship at Infosys Springboard indicate a structured learning approach and exposure to industry practices.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, integrate various technologies, and deliver end-to-end solutions. The internship experience suggests an understanding of production-ready workflows and CI/CD. Participation in hackathons and extracurricular activities points to a proactive and collaborative attitude. However, without specific psychometric or English test scores, a detailed assessment of stress handling, team collaboration, and communication clarity is limited.