10/05/2026 updated
100 % available
AI Tech Lead | Voice AI, Agentic AI & Conversational AI | ML & Data Engineering
Bengaluru, India
Only remote
M.S. Embedded Systems, Technische Universitat Chemnitz, GermanyAbout me
AI Tech Lead with 5+ years building production GenAI systems — voice agents, agentic AI, and RAG pipelines that handle real users at scale. I own delivery end-to-end: architecture, development, deployment, and client governance. M.S. TU Chemnitz, Germany.
AI Agents
Voice & Agentic AI
Expertise in building production-scale voice AI platforms using LiveKit, Sarvam STT/TTS, Gemini, Plivo/Exotel, AMD integration, warm transfer, real-time speech pipelines, and post-call analytics for enterprise clients across multiple industries.
LLMs & Generative AI
Deep knowledge of LLMs, RAG pipelines, Agentic AI, Conversational AI, Prompt Engineering, LangChain, Pinecone, and Vector Databases, applied to production GenAI systems including chatbots, mentor bots, and voice agents.
ML & Analytics
Strong background in Predictive Analytics, Anomaly Detection, Time-Series Forecasting, Recommendation Engines, Scikit-learn, and TensorFlow, with hands-on experience delivering forecasting engines and anomaly detection pipelines on real-time IoT data.
MLOps & Governance
Proficiency in ML pipeline design, model monitoring, drift detection, retraining workflows, deployment optimisation, Responsible AI, and explainability to ensure robust and compliant AI systems in production.
Backend & Infrastructure
Hands-on experience with Python, FastAPI, Flask, REST APIs, IoT data streams, event-driven architectures, and WhatsApp Business API for building scalable backend systems supporting AI applications.
Cloud & Platforms
Practical experience with Azure AI, GCP, vector databases, and Pinecone for deploying and managing AI workloads at scale in cloud environments.
Delivery & Leadership
End-to-end project leadership, client consulting, stakeholder management, Agile/sprint planning, engineering hiring, and cross-functional team management across multiple concurrent AI delivery projects.
Computer Vision & Signal Processing
Experience developing a sign-language-to-text recognition system using OpenCV, CNNs, and TensorFlow, covering the full ML pipeline from data ingestion to model deployment.
Expertise in building production-scale voice AI platforms using LiveKit, Sarvam STT/TTS, Gemini, Plivo/Exotel, AMD integration, warm transfer, real-time speech pipelines, and post-call analytics for enterprise clients across multiple industries.
LLMs & Generative AI
Deep knowledge of LLMs, RAG pipelines, Agentic AI, Conversational AI, Prompt Engineering, LangChain, Pinecone, and Vector Databases, applied to production GenAI systems including chatbots, mentor bots, and voice agents.
ML & Analytics
Strong background in Predictive Analytics, Anomaly Detection, Time-Series Forecasting, Recommendation Engines, Scikit-learn, and TensorFlow, with hands-on experience delivering forecasting engines and anomaly detection pipelines on real-time IoT data.
MLOps & Governance
Proficiency in ML pipeline design, model monitoring, drift detection, retraining workflows, deployment optimisation, Responsible AI, and explainability to ensure robust and compliant AI systems in production.
Backend & Infrastructure
Hands-on experience with Python, FastAPI, Flask, REST APIs, IoT data streams, event-driven architectures, and WhatsApp Business API for building scalable backend systems supporting AI applications.
Cloud & Platforms
Practical experience with Azure AI, GCP, vector databases, and Pinecone for deploying and managing AI workloads at scale in cloud environments.
Delivery & Leadership
End-to-end project leadership, client consulting, stakeholder management, Agile/sprint planning, engineering hiring, and cross-functional team management across multiple concurrent AI delivery projects.
Computer Vision & Signal Processing
Experience developing a sign-language-to-text recognition system using OpenCV, CNNs, and TensorFlow, covering the full ML pipeline from data ingestion to model deployment.
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
GermanBasic knowledgeEnglishFluent
Project history
Architected and led delivery of a production-scale voice AI outbound campaign platform handling real-time spoken interactions across enterprise clients in healthcare, edtech, and real estate. Led end-to-end delivery of an AI-powered energy intelligence platform including forecasting, anomaly detection, and operational analytics. Designed conversational AI solutions for health-tech and edtech clients. Built and owned the engineering hiring pipeline at Logos Labs.
Built and deployed a RAG-based Mentor Bot (Pinecone + LLMs) for contextual student query resolution. Delivered a production-ready conversational AI chatbot for client interaction workflows with scalable vector search pipelines using Pinecone. Owned transition from rapid experimentation to validated production release and contributed to model evaluation frameworks for deployed LLM systems.
Contributed to AI application development, backend integrations, and rapid prototyping of AI features for enterprise workflows.