AI/ML Python Developer (FastAPI & LLMs)

ANAND SANTOSH BORA

Software Engineer AI/ML

Pune, India +91-782******* ************@*****.*** GitHub LinkedIn Portfolio SUMMARY

Computer Engineering student with hands-on experience building applied machine learning features inside full-stack Python/FastAPI platforms — data preprocessing, model training and evaluation, and real-time inference served through REST APIs. Comfortable working across the ML lifecycle: dataset preparation, experiment tracking (MLflow), model registries, and monitoring model behavior in production-style deployments with Docker and Kubernetes. Fast learner, eager to build production-ready AI applications as part of a team. EXPERIENCE

Python Developer Intern — AI Adventures LLP Jan 2025 – Feb 2025

● Built Python automation tools integrating the Google Sheets API, cutting manual data-entry effort by roughly 70%

● Set up scheduled monitoring jobs with GitHub Actions to catch failures early and support CI/CD reliability

● Built and tested a bulk certificate generation service (Flask) with CSV-driven batch processing and documented setup for handoff

● Collaborated cross-functionally on MOODLE LMS enhancements, including quiz creation and configuration EDUCATION

Bachelor of Engineering, Computer Engineering — Genba Sopanrao Moze College of Engineering, Pune 2022 – 2026 CGPA: 7.68 / 10

TECHNICAL SKILLS

Programming: Python, JavaScript, TypeScript, SQL

AI & ML: Machine Learning, Scikit-learn, TensorFlow, MLflow, SHAP (model explainability), model training & real-time inference Backend: FastAPI, Flask, REST APIs, JWT Authentication Databases: PostgreSQL, MySQL, Redis

Cloud & DevOps: Docker, Kubernetes, Git, GitHub Actions, CI/CD, AWS (fundamentals) Monitoring & Testing: Prometheus, Grafana, Pytest, Postman Core CS: Data Structures, Algorithms, OOP, DBMS, Operating Systems, Computer Networks Tools: Postman, VS Code, Jupyter Notebook

PROJECTS

HoneyCloud-X — AI-Powered Cybersecurity SaaS Platform Apr 2026 – Present Python, FastAPI, TensorFlow/Scikit-learn, PostgreSQL, REST APIs GitHub Live Demo

● Built a feature-engineering pipeline (payload length, keyword counts, entropy) and trained scikit-learn models to classify events and score severity in real time

● Served model inference through FastAPI REST endpoints, exposing predictions to a React dashboard for live monitoring

● Implemented JWT authentication and PostgreSQL data models, and containerized the application with Docker for deployment Enterprise MLOps Platform 2026

Python, FastAPI, MLflow, PostgreSQL, Docker, Kubernetes, Prometheus/Grafana GitHub

● Built REST APIs for dataset ingestion, an MLflow-backed experiment tracker, and a model registry with staged/approved/rejected version gating

● Implemented a real-time inference API that loads registered models for serving, plus SHAP-based explainability for individual predictions

● Instrumented the API with Prometheus and Grafana for latency/throughput monitoring, and deployed the stack via Docker and Kubernetes manifests

Infrastructure Monitoring & Incident Management Platform 2026 Python, FastAPI, PostgreSQL, Prometheus, Grafana, Docker, Kubernetes GitHub

● Built REST APIs and a PostgreSQL schema for tracking servers, incidents, alerts, and tickets in a full-stack ops platform

● Integrated Prometheus, Grafana, and Alertmanager for real-time metric scraping, alert routing, and SLA/MTTR reporting

● Containerized the stack with Docker and wrote Kubernetes manifests for deployment

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