Saikrishna Boddu

Software Developer (R&D) at Technicolor Creative Studios, Montreal, Canada

Built and maintained AI/ML components for analytics platforms, developing Python applications and microservices supporting ML and generative AI workflows in multi-cloud/containerized environments; designed prompt templates and benchmarked prompts; automated semantic search and asset tracking.

Freelance AI Developer & Agentic Systems Specialist at Freelance

Designed and shipped AI agents and agentic workflows for analytics platforms using Retrieval-Augmented Generation (RAG) with LLMs and advanced prompt engineering for live and batch search, analytics, and automation.

Software Developer (R&D) at Technicolor Creative Studios

Built and maintained AI/ML components for integration into analytics platforms, developing Python applications and microservices supporting ML and generative AI (LLM/RAG) workflows in multi-cloud and containerized (Docker, AWS) environments. Designed/implemented containerized microservices (FastAPI, Flask, Docker) on cloud platforms for ML and generative pipelines. Created prompt templates and benchmarked prompt/model combinations for continuous improvement. Automated asset/document tracking and semantic search, improving uptime and incident response for mission-critical analytics. Delivered cross-team communication, requirement gathering from SMEs/clients, and technical documentation for new features. Applied Agile/DevOps practices, led code reviews and integration sprints for new library features.

Designed and shipped AI agents and agentic workflows for analytics platforms using Retrieval-Augmented Generation (RAG) with LLMs (OpenAI, HuggingFace, Claude) and advanced prompt engineering for live and batch search, analytics, and automation. Developed Model Context Protocol (MCP) servers and multi-agent orchestration patterns with LangChain, LangGraph, and LlamaIndex; integrated vector databases (Pinecone, Chroma, Milvus, Weaviate, FAISS) for scalable semantic retrieval in analytics platform environments. Built reusable AI frameworks and components for integration into analytics platforms, including containerized and cloud-deployed APIs and microservices (FastAPI, Flask, Docker, AWS, Azure). Identify AI opportunities and translate requirements into scalable AI solutions, prototyping self-reflecting, function-calling, and source-citing agentic architectures. Implemented foundational workflow automation tools (n8n, Airflow, Zapier).

Unity & VR/AR Developer at Occupied VR

Developed interactive 3D/VR prototypes in Unity/C#, Python, and JavaScript; integrated ML models and semantic data to demonstrate real-time computer vision and automated object recognition for immersive experiences.

Unity & VR/AR Developer at Occupied VR

Developed interactive 3D/VR prototypes in Unity/C#, Python, and JavaScript; integrated ML models (TensorFlow) and semantic data to demonstrate real-time computer vision and automated object recognition. Built practical AI implementations combining spatial analysis with ML model inference for immersive applications.

Software Engineer (R&D) — AI/ML and AR/VR at Cyient

Designed and developed AI/ML components using Python and C# prototypes integrating AR/VR, computer vision, and proof-of-concept machine learning for engineering, railways, BIM, and manufacturing clients; preprocessed large datasets (Pandas) and supported deployment of production ML solutions in mixed reality settings.