Anand Ravichandran

Associate Full Stack AI Engineer with 3+ years of experience building enterprise AI platforms, intelligent automation systems, and cloud-native applications. Specialized in LLMs, AI Agents, RAG, Machine Learning, and scalable full-stack development using Python, Node.js, and React.js. Experienced in designing microservices, AI inference pipelines, distributed systems, and DevOps workflows with Docker, Terraform, Ansible, AWS, and CI/CD.

Passionate about developing production-ready AI infrastructure, autonomous agentic systems, and enterprise software that delivers measurable business value.

Notice Period: Immediate Joiner

Junior Full Stack Engineer Intern at Vanakkam Express Pvt. Ltd. (2023-06 – 2023-12)

• Developed enterprise logistics modules using React.js, Node.js, Express.js, and MongoDB for shipment booking, tracking, routing, role-based operations, and real-time dashboards.
• Designed scalable REST APIs with Socket.IO, Redis, RabbitMQ, and Celery, processing 397 shipments during the first 30 days with real-time operational visibility.
• Deployed production workloads using Docker, GitHub Actions, AWS ECS, AWS ECR, and Nginx, improving deployment reliability and application scalability.

Junior ML Engineer Intern at Thinkinfo Expert Solutions Pvt. Ltd. (2024-01 – 2024-06)

• Developed Generative AI applications including an AI-powered Webinar Sales Platform and an AI Voice Generation Platform using LLMs, RAG, Vapi AI, StyleTTS2, Seed-VC, Make-An-Audio, WebRTC, Next.js, FastAPI, and PyTorch, delivering personalized AI interactions and high-quality speech synthesis.
• Architected scalable multi-tenant AI systems with 1000+ concurrent users, 50+ AI audio generations per session, and parallel AI inference workloads.
• Automated production deployments using Docker, GitHub Actions, AWS S3, and IAM, contributing to 40% higher demo bookings, 25% higher conversion rates, and 90%+ naturalness in AI-generated speech.

Associate AI Engineer at Thinkinfo Expert Solutions Pvt. Ltd. (2024-06 – Present)

• Designed AI-powered cybersecurity applications using Python, Flask, Next.js, MongoDB, and BERT, OCR, Spacy for phishing detection, malware analysis, OCR, and threat intelligence.
• Built scalable AI inference pipelines with Redis, Celery, Docker, and AWS, enabling concurrent security analysis with sub-30 second response times.
• Engineered cloud-native microservices using Docker, Kubernetes, GitHub Actions, Terraform, Nginx, and Prometheus, delivering secure, monitored production deployments.

Bachelor of Engineering (B.E.) – Panimalar Institute of Technology (2018-09 – 2022-06)