Headline

Senior AI Engineer @ Miroma Group | ex- alight solutions, deloitte usi

About

I am a Senior AI Consultant and Forward Deployed Engineer specializing in building production-grade Agentic Systems, RAG architectures, and Voice AI pipelines. I move beyond "proof of concept" demos to architect scalable systems that handle real-world traffic with strict latency and uptime requirements. Currently, I help companies transition from simple LLM wrappers to autonomous multi-agent workflows that drive genuine business value. Core Engineering Highlights: Voice AI & Real-Time Comms: Architected a 0-to-1 VoiceAI product using LiveKit and WebRTC, achieving sub-200ms latency for real-time conversational agents. Scalable GenAI Infrastructure: Built serverless GPU workflows (ComfyUI on RunPod) that processed 500K+ images/month, generating $50K MRR with auto-scaling capabilities. Production RAG Systems: Designed distributed ingestion pipelines for Deloitte and Heady, processing 10K+ documents with 99.9% uptime and reducing query latency by up to 60%. Multi-Agent Orchestration: Led the development of policy reform agents for the Government of Rajasthan, utilizing geospatial data (PostGIS) to automate complex government workflows. Technical Stack: AI & Agents: LangChain, LangGraph, CrewAI, AutoGen, OpenAI, HuggingFace, Agno Backend: Python (FastAPI, Django), Node.js, TypeScript Infra & Cloud: AWS (Lambda, ECS, S3), Docker, Terraform, Kubernetes Vector & Data: Pinecone, Qdrant, FAISS, PostgreSQL, Kafka, Databricks I am always exploring the frontier of Agentic AI and LegalTech Automation. If you are building complex AI-native applications or need to scale your existing GenAI infrastructure, let's connect.

Location

Bengaluru

AI stack

claude code

codex

cursor

langgraph

livekit

opencode

Work experience

Senior AI Engineer at Miroma Group, Jan 2026 - May 2026 · 5 mos, Focusing on building transformative AI solutions that drive media automation and efficiency. • Engineered robust production architectures for internal-facing RAGs and brains, optimizing workflow. • Pioneered new agentic patterns for media generation, fostering creativity and innovation within the team. • Collaborated with cross-functional teams to ensure seamless integration of AI technologies into existing systems.

AI Engineer at Alight Solutions, Jan 2025 - Dec 2025 · 1 yr, Remote, • Oversaw and architected RAG solutions and Generative AI solutions at Alight Solutions. • Developed Agentic solutions and architectures to enhance AI capabilities. • Collaborated with cross-functional teams to drive innovative AI projects.

AI/ML Engineer at Deloitte, Sep 2020 - Oct 2024 · 4 yrs 2 mos, Embedded with enterprise clients as a hands-on AI/ML engineer — running engagements end-to-end, from discovery and architecture through building and deploying production systems. Built and deployed production AI/ML systems for Fortune 500 clients across [media, logistics, and retail], translating ambiguous business problems into working technical solutions. Architected RAG and vector-search pipelines (FAISS / Pinecone / Qdrant) over large document sets, improving retrieval quality and reducing latency for enterprise search and Q&A use cases. Developed LLM evaluation frameworks (LangChain / LangGraph) scoring model outputs for usefulness, accuracy, and safety — giving teams a consistent way to compare models and gate releases. Built streaming data and ETL pipelines (PySpark, Kafka, Airflow) on AWS and Azure to feed ML and analytics workloads at scale. Partnered directly with client stakeholders — running discovery and architecture workshops, presenting to engineering and senior leadership, then implementing the systems myself.

Intern at Ashok Leyland, Jan 2019 - Jul 2019 · 7 mos

Education

Bachelors of Technology, Computer Science, Thapar Institute of Engineering & Technology