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Python Engineer with less than a year in Generative AI & Backend Development
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Python Developer specializing in Generative AI, Agentic AI architectures, RAG pipelines, and scalable RESTful API development. Hands-on experience architecting 3 end-to-end multi-agent systems using CrewAI, LangChain, and LangGraph to automate complex business workflows. Solid foundational grasp of core Machine Learning principles, data preprocessing, and statistical evaluation metrics, paired with strong backend engineering skills across FastAPI, Docker, and AWS.
Visvesvaraya Technological University
Bachelor of Engineering · Computer Science
August 1, 2020 – June 1, 2024
Bestowal Systems and Services
Python Developer Intern
November 1, 2025 – Present
Pune, Maharashtra, India
Edurekha (Edureka Learning Center)
Full-Stack Developer Intern
August 1, 2024 – October 1, 2024
Belgaum, Karnataka, India
Automated AI Diagnostic Report (DDR) Generator
June 1, 2026 – Present
Data Ingestion & Extraction: Engineered a multi-modal pipeline processing 50+ inspection PDFs, reducing manual report generation time by ~65% through automated RAG-based root cause analysis Vector Storage (ChromaDB): Integrated ChromaDB to index and manage document embeddings, enabling high-speed data retrieval and persistent storage for report regeneration. RAG-Based Synthesis: Utilized a Retrieval-Augmented Generation (RAG) workflow to logically merge site observations with thermal data while performing automated root cause analysis.
F1 Interactive Strategy Assistant & Race Predictor
June 1, 2026 – Present
Predictive ML Modeling: Developed and trained a Random Forest machine learning model using Scikit-learn to simulate and predict real-time tire degradation rates based on telemetry data. Intelligent Orchestration (Spine Architecture): Architected a modular execution pipeline featuring custom intent classification (classifier.py) and safety-filtering (safety.py) layers to route user requests between ML simulations and RAG pipelines. Hybrid RAG Integration: Integrated ChromaDB and OpenAI API to ingest, vectorize, and retrieve complex text data from live web scraping and FIA sporting regulations, enabling context-aware strategic breakdowns. Data Engineering & Preprocessing: Engineered robust data ingestion modules using Pandas and NumPy to clean, structure, and preprocess raw telemetry inputs and text chunks for model inference.
Connect Me-Campus Mobile Application
June 1, 2026 – Present
Interactive Chatbot & Q&A Forum: Integrated a responsive chatbot for instant assistance and an open forum to facilitate collaboration between students and teachers. Campus Navigation: Implemented a GPS-based system featuring both conventional navigation and augmented reality (Beyond AR framework) to help users find campus locations. Notifications: Leveraged Firebase Cloud Messaging (FCM) to deliver instant push notifications regarding academic updates and campus news.
Clinic Management System
June 1, 2026 – Present
Full-Stack Architecture: Digitized end-to-end clinic workflows for 3 user roles, eliminating ~100% of paper-based records and cutting registration time from 10 mins to under 2 mins. Clinic Workflow Automation: Built a centralized dashboard to digitize patient registration, treatment tracking, and billing, replacing manual paper-based record keeping. Secure Authentication: Implemented user authorization using JWT (JSON Web Tokens) and password hashing to ensure secure access for different user roles (e.g., Admin, Dentist).
RAG Pipeline Engineering & Vector Search
Databricks
June 1, 2026 – Present
AWS Foundations: Getting Started with the AWS Cloud Essentials
Unknown
June 1, 2026 – Present
Claude Code in Action
Anthropic
June 1, 2026 – Present
Building systems with ChatGPT API
Unknown
June 1, 2026 – Present
Boot camp program in Python
Udemy
June 1, 2026 – Present
SQL for Backend Development
Meta
June 1, 2026 – Present
Multi Agent Systems with CrewAI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, ranging from mobile applications to clinic management systems and advanced AI/ML solutions, indicating a broad interest and adaptability. The certifications in various AI/ML and backend technologies suggest a proactive learning attitude. The current internship as a Python Developer Intern aligns well with the target role, demonstrating a commitment to the field. The breadth of skills and technologies used across projects indicates a willingness to explore and integrate new tools, which is a positive for cultural fit in an innovative environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate complex requirements into functional solutions. The focus on automating workflows and improving user experience suggests a user-centric approach. The internship experience, though limited, shows exposure to real-world development practices. However, without direct interview data, assessing collaboration, stress handling, and communication in a team setting is difficult.