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sarthakbhard404

Sarthak B

@sarthakbhard404

AIML Engineer

India
English
About me
I am an AI/ML engineer building production systems for 32K+ users across enterprise and government sectors. I specialize in end-to-end AI/ML pipelines, LLM systems, and scalable infrastructure. My work has been recognized at the AWS AI Conclave 2026 for delivering high-impact domain-specific tools.... Read more

Skills

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sarthakbhard404
Sarthak B
Offline • 

See my services

AI Integrations
I will ai agents, rag chatbots, and llm applications
From$150 / projectMore details

Work experience

Pinnacle_Infotech

AI/ML Engineer

Pinnacle Infotech • Full-time

Apr 2025 - Present • 1 yr 6 mos

• Launched InnoBOT, a domain-specific AI assistant serving 32K+ users across airport and data center deployments, owning retrieval, indexing, and inference. Built HelpDoc Search, reducing engineer lookup time by ~25%. • Developed a Meeting Intelligence Platform for government projects and leading US construction firms (Turner, Bechtel, Kiewit), automating pre-meeting briefs and live decision capture through NLP pipelines integrated with BIM tools. • Built engineering document intelligence tools, achieving ~50% adoption for ABB Finder without rollout and driving 30–40% usage growth and 2× time savings with Clash Renamer. • Developed energy forecasting and hybrid anomaly detection systems using Prophet, Isolation Forest, and DBSCAN for industrial IoT deployments. • Managed AWS infrastructure for end-to-end AI deployments; recognized at AWS AI Conclave 2026.

Voice

Conversational AI Engineer

Voice • Full-time

Dec 2024 - Mar 2025 • 3 mos

• Built production conversational AI and voice assistant systems using Rasa NLU/Core and automated knowledge ingestion. • Reduced latency from 16 seconds to ~4 seconds and token cost per call from ~$0.85 to ~$0.15 across a deployment covering 300+ US locations through retrieval optimization, caching, and conversation memory tuning.

MetaVersus

LLM Engineer Consultant

MetaVersus • Full-time

Jul 2024 - Dec 2024 • 5 mos

• Developed a multi-platform AI content generation system from ideation to production, contributing to ~$2M in lifecycle revenue. • Built scalable media pipelines integrating transcription, custom prompts, and optimized retrieval to automate content extraction and generation.