I'm a Senior AI/ML & Full Stack Engineer with over 7 years of experience building scalable web applications and production-grade AI systems. I design LLM-powered solutions using Retrieval-Augmented Generation, vector databases, and agent-based workflows, with a strong foundation in Python and JavaScript, microservices, and cloud-native architectures. I work end-to-end on AI-enabled applications using OpenAI, LangChain, and modern MLOps. I focus on performance, latency, and reliability, and I integrate AI capabilities into real-world apps across web, backend, and data pipelines. I'm comfortable with PyTorch for embeddings and inference, and I have hands-on experience with AWS, Azure, Docker, and Kubernetes for deployment and operations. I enjoy collaborating with cross-functional teams in Agile environments.

SRAVYA VEERAVALLI

I'm a Senior AI/ML & Full Stack Engineer with over 7 years of experience building scalable web applications and production-grade AI systems. I design LLM-powered solutions using Retrieval-Augmented Generation, vector databases, and agent-based workflows, with a strong foundation in Python and JavaScript, microservices, and cloud-native architectures. I work end-to-end on AI-enabled applications using OpenAI, LangChain, and modern MLOps. I focus on performance, latency, and reliability, and I integrate AI capabilities into real-world apps across web, backend, and data pipelines. I'm comfortable with PyTorch for embeddings and inference, and I have hands-on experience with AWS, Azure, Docker, and Kubernetes for deployment and operations. I enjoy collaborating with cross-functional teams in Agile environments.

Available to hire

I’m a Senior AI/ML & Full Stack Engineer with over 7 years of experience building scalable web applications and production-grade AI systems. I design LLM-powered solutions using Retrieval-Augmented Generation, vector databases, and agent-based workflows, with a strong foundation in Python and JavaScript, microservices, and cloud-native architectures.

I work end-to-end on AI-enabled applications using OpenAI, LangChain, and modern MLOps. I focus on performance, latency, and reliability, and I integrate AI capabilities into real-world apps across web, backend, and data pipelines. I’m comfortable with PyTorch for embeddings and inference, and I have hands-on experience with AWS, Azure, Docker, and Kubernetes for deployment and operations. I enjoy collaborating with cross-functional teams in Agile environments.

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Experience Level

Expert
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Work Experience

Senior AI/Full Stack Engineer at 1800spirits
March 1, 2025 - Present
Led the design and development of an AI-powered e-commerce personalization and recommendation engine. Built LLM-based personalization workflows, semantic search with embeddings, and Retrieval-Augmented Generation pipelines. Implemented server-side rendering frontend with React/Next.js and developed backend microservices in Node.js and FastAPI to orchestrate AI inference, caching, and API calls. Integrated PyTorch-based models and vector databases (Pinecone/FAISS) for real-time, low-latency recommendations. Ensured scalability, monitoring, and deployment in Kubernetes with Prometheus/Grafana observability.
AI/ML Engineer + Full Stack Developer at CrunchOps LLP
February 1, 2024 - December 1, 2024
Developed an Enterprise AI Document Assistant using LangChain and OpenAI for contextual Q&A over large document repositories. Built end-to-end RAG pipelines, document ingestion, chunking, embedding generation, and indexing with FAISS/Pinecone. Created backend APIs with FastAPI and Node.js to orchestrate AI workflows, implemented robust authentication (JWT/OAuth), and deployed on AWS/Azure with Docker. Optimized performance to reduce latency, and established CI/CD pipelines for automated deployments.
Full Stack Developer at Robixo Technologies
August 1, 2018 - February 29, 2024
Led full-stack development across multiple projects: Healthcare Patient Portal (MEAN stack) with secure authentication and role-based access; Real-time Inventory Management System with RESTful APIs and analytics; and Legacy-to-Microservices migration transforming monoliths into independently deployable services using Docker and CI/CD. Implemented scalable database schemas (MongoDB, MySQL), integrated external services, and ensured responsive UX and reliable backend performance.

Education

Bachelor of Technology (B.Tech) – Electronics and Communication Engineering at Andhra University
January 1, 2013 - January 1, 2017

Qualifications

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Industry Experience

Software & Internet, Healthcare, Professional Services