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I am Sahil B. Lukhi, an AI/ML engineer focusing on production-grade intelligent systems across generative AI, machine learning, and data-driven automation. I design end-to-end AI pipelines, from modeling and feature engineering to distributed inference, real-time processing, and deployment across both predictive ML and LLM-based architectures. I thrive on building scalable, reliable platforms with strong performance, robust guardrails, and enterprise-grade tooling.…I am Sahil B. Lukhi, an AI/ML engineer focusing on production-grade intelligent systems across generative AI, machine learning, and data-driven automation. I design end-to-end AI pipelines, from modeling and feature engineering to distributed inference, real-time processing, and deployment across both predictive ML and LLM-based architectures. I thrive on building scalable, reliable platforms with strong performance, robust guardrails, and enterprise-grade tooling.

Sahil B. Lukhi

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Sahil B. Lukhi, an AI/ML engineer focusing on production-grade intelligent systems across generative AI, machine learning, and data-driven automation. I design end-to-end AI pipelines, from modeling and feature engineering to distributed inference, real-time processing, and deployment across both predictive ML and LLM-based architectures. I thrive on building scalable, reliable platforms with strong performance, robust guardrails, and enterprise-grade tooling.…I am Sahil B. Lukhi, an AI/ML engineer focusing on production-grade intelligent systems across generative AI, machine learning, and data-driven automation. I design end-to-end AI pipelines, from modeling and feature engineering to distributed inference, real-time processing, and deployment across both predictive ML and LLM-based architectures. I thrive on building scalable, reliable platforms with strong performance, robust guardrails, and enterprise-grade tooling.

Available to hire

I am Sahil B. Lukhi, an AI/ML engineer focusing on production-grade intelligent systems across generative AI, machine learning, and data-driven automation. I design end-to-end AI pipelines, from modeling and feature engineering to distributed inference, real-time processing, and deployment across both predictive ML and LLM-based architectures. I thrive on building scalable, reliable platforms with strong performance, robust guardrails, and enterprise-grade tooling.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Rejoicehub

March 1, 2025 - Present

Led development of CallIntel - Real-Time Conversational AI Platform with persistent memory, RAG-based knowledge retrieval, and tool-triggered workflows (CRM, messaging, DBs), plus enterprise BYOK support. Architected multi-tenant orchestration with org-level concurrency, prioritization, retries, and fault-tolerant distributed workers via Docker, Kubernetes, and CI/CD. Implemented a sub-second voice streaming pipeline (Twilio/Plivo/Elision) with bidirectional streaming, audio format conversion, VAD, and async buffering to achieve ~700 ms end-to-end latency and natural turn-taking. Built a pluggable AI interaction layer combining multiple model providers and custom STT/TTS pipelines with Supabase persistence for context-aware conversations, transcript storage, analytics, and automation hooks. Developed KnowledgeFlow AI for document ingestion with semantic chunking, hot-swappable embeddings, and 10K+ pages/hour indexing. Designed a hybrid retrieval architecture across dense embeddings and

Market Analyst at Futures First

August 1, 2024 - February 1, 2025

Performed statistical analysis and historical market studies; applied machine learning techniques to forecast market movements and support strategy optimization. Automated data preprocessing workflows and developed predictive models to assist trading decisions.