Rhythem Sharma
AI/ML Engineer
Engineering scalable intelligence systems. Specialized in LLM Ops, Computer Vision, and Distributed Training Pipelines.
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About Me
From LLMs to Real-World AI Applications
AI/ML Engineer with hands-on experience building production-grade AI applications using Generative AI, LLMs, Agentic AI, RAG, Computer Vision, and FastAPI. Experienced in developing intelligent chatbots, real-time voice assistants, AI-powered vision systems, and scalable backend services. Passionate about building reliable, low-latency AI systems that solve real-world problems and continuously exploring the latest advancements in AI.
Education
B.Tech in Information Technology
Manipal University, Jaipur • 2022 - 2026
Focus Areas
- Agentic AI & Multi-Agent Systems
- RAG, Vector Databases & LLMs
- Computer Vision, OCR & Voice AI
Key Accomplishments
Production AI Systems
Built and deployed intelligent AI applications used by thousands of users in real-world operations.
Agentic AI Workflows
Designed autonomous AI workflows with tool calling, memory, and context-aware decision making.
Scalable RAG Infrastructure
Engineered retrieval pipelines delivering accurate, low-latency responses from enterprise knowledge.
Professional Experience
Engineering robust machine learning platforms and deep learning models at scale.
AI/ML EngineerInternship
Zypp Electric
AWS InternInternship
Airish TechnologiesFeatured Projects
A curated showcase of distributed platforms, model tuning runs, and optimization engines.
Zia Phase 2 Chatbot
An agentic RAG chatbot with voice-enabled, low-latency ASR and TTS, integrating OpenAI GPT-4 with custom prompt and tool manager optimization.
AI Damage & View Validation
An automated vision inspection system verifying ride images, identifying vehicle damages, validating number plates, and triggering database penalty flows using GPT-4o Vision.
Zypp Saathi voice assistant
An agentic real-time voice assistant for delivery pilots using OpenAI Realtime, Pipecat, and LiveKit WebRTC, featuring role-aware tool access and live ticket escalation.
Demand Forecasting & Automated Order Management
An automated part usage forecasting and multi-city inventory replenishment system utilizing XGBoost and Chronos-2 to optimize monthly hub ordering.
Technical Skills
Proficiencies and hands-on experience compiled across training runs, API platforms, and infrastructure code.
Programming Stack
Certifications
Professional qualifications and vendor certifications in machine learning and cloud architecture.
AWS Cloud foundation Certifications
AWS
2025
AWS Partner: Accreditation (Technical)
AWS
2025
Storage Data Migration - Knowledge Badge Readiness Path
AWS
2025
Introduction to Containers w/ Docker, Kubernetes & OpenShift
IBM
2025
Generative AI: Introduction and Applications
IBM
2024
Oracle Cloud Infrastructure Foundations I
Oracle - Associated with MUJ
2025
Contact Me
Let's connect to discuss ML platform architecture, Ray orchestrations, or team leadership opportunities.
Connection Gateways
Reach out directly through email or connect with me via professional networks.