Anand Vankhede

Software Developer with 1+ year of hands-on experience building secure, scalable, and production-ready backend systems using FastAPI, Redis, MongoDB, and Socket.IO. Proven expertise in asynchronous REST API development, JWT-based authentication, real-time communication, and Linux server deployment. Proficient in cloud infrastructure on Azure VM and AWS EC2, Nginx configuration, automation scripting, and performance optimization.

Experienced in supporting AI-based systems including OCR and deep learning pipelines. Strong communicator with a track record of delivering reliable, maintainable solutions in cross-functional team environments.

Software Developer at GlossaryHub (2025-09 – Present)

• Designed and implemented scalable FastAPI REST APIs with JWT-based authentication and role-based access control (RBAC) for multi-user backend systems, reducing unauthorized access incidents to zero.
• Integrated MongoDB for persistent data storage and Redis for high-performance caching and session management, improving API response times by up to 40%.
• Built and deployed AI-based inference APIs leveraging PyTorch models; optimized CPU-only inference pipelines using async I/O, achieving production-grade throughput without GPU infrastructure.
• Deployed and managed applications on Azure VM and AWS EC2 (Ubuntu Linux) with Nginx reverse proxy, load balancing, systemd service management, and Slack alert monitoring for 24/7 system observability.
• Implemented real-time communication features using Socket.IO and WebSockets, enabling live document analytics and event-driven architecture for multi-user environments.

Project Coordinator Intern at Splashgain Technology Solutions Pvt. Ltd. (2024-12 – 2025-08)

• Developed Python-based automation tools and backend scripts for data extraction, validation, and transformation, reducing manual processing time significantly across multiple data pipelines.
• Performed data preprocessing and feature engineering using NumPy and Pandas to support AI/ML model training and integration workflows.
• Supported API-level integrations including debugging, testing, and performance optimization, collaborating closely with cross-functional development teams.
• Coordinated project delivery timelines, maintained technical documentation, and facilitated communication between engineering and business stakeholders.

Master of Computer Application in MCA – School of Computer Science, KBCNMU (2022 – 2024)

Bachelor of Computer Application in BCA – Seva Sadan Mahavidyalaya, DAVV (2019 – 2022)