Sambit Mahapatra

Co-Founder

Bengaluru, Karnataka, India8 yrs 3 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Founder of AI-native compliance intelligence platform.
  • Delivered $1M+ in productivity savings for clients.
  • Expert in production-grade AI systems for regulated industries.
Stackforce AI infers this person is a SaaS-focused AI architect with expertise in compliance and enterprise solutions.

Contact

LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Compliance IntelligenceLarge Language Models (llm)Workflow AutomationNatural Language Processing (nlp)Machine Learning

Other Skills

AgentsStrategyRisk ScoringRetrieval-Augmented Generation (RAG)PyTorchPython (Programming Language)Machine Learning AlgorithmsGoogle Cloud Platform (GCP)SaaS DevelopmentDeep LearningFlaskBig Data AnalyticsMapReduceApache SparkC++

About

I’m the Founder & CTO of Halozen.ai, building AI-native systems that replace manual compliance work in regulated industries with deterministic, traceable intelligence. Halozen converts long, complex documents—RFPs, contracts, specifications, safety standards, regulations—into structured, clause-cited, audit-ready outputs teams can actually trust. We extract requirements, penalties, key dates, and safety artifacts (OSHA / WHS-aligned), each mapped directly to its source. The result is decision-grade compliance intelligence delivered in days instead of weeks. This is high-stakes work. One missed clause can disqualify a bid or surface as commercial or safety exposure months later. That’s why Halozen is not a chat interface or a copilot. We’re building a system of record where correctness, traceability, and auditability are non-negotiable. Alongside Halozen, I bring years of experience designing and operating production-grade AI systems in enterprise environments. Previously, I shipped applied ML and LLM systems at SupportLogic, Cisco, Veritas, and Navedas—working across NLP, classification, RAG pipelines, and real-time inference at scale. I also founded Hobglobin, an AI product and engineering studio, where I’ve deployed enterprise-grade agentic AI systems inside large construction organizations across ANZ—supporting live operational workflows, not prototypes. That hands-on delivery experience directly informs Halozen’s reliability-first, adoption-led architecture. Current focus areas: . Deterministic LLM & RAG systems for regulated workflows . Long-context document intelligence and validation pipelines . Production ML systems (Vertex AI, GCP, MLOps) . Designing AI that holds up under audit—not demos If you’re operating in compliance-heavy environments and want AI that’s actually trustworthy, happy to connect.

Experience

Halozen.ai

Founder & CTO

Dec 2025 – Present · 3 mos · Global · Hybrid

  • Leading the development of AI-native compliance intelligence infrastructure for regulated construction.
  • Designed real-time compliance risk scoring architecture for EPC-scale projects
  • Engineered structured AI validation systems for regulatory documentation workflows
  • Built automated audit-ready reporting frameworks
  • Developing infrastructure-grade intelligence systems for compliance visibility and regulatory assurance
  • Focus: Compliance as embedded intelligence infrastructure, not reactive documentation management.
Artificial Intelligence (AI)AgentsStrategyCompliance Intelligence

Hobglobin

Founder and AI Lead

Jan 2024 – Present · 2 yrs 2 mos · India · Hybrid

  • AI product and engineering studio helping enterprises deploy production-grade agentic AI systems.
  • Delivered custom AI solutions for construction and infrastructure clients in ANZ, driving $1M+ in annual productivity savings.
  • Led end-to-end delivery: problem scoping, system architecture, deployment, and post-deployment ROI tracking.
  • Core focus: LLMs, RAG frameworks, workflow automation, and enterprise adoption.
Large Language Models (LLM)Retrieval-Augmented Generation (RAG)AgentsStrategyWorkflow Automation

Supportlogic

Machine Learning Engineer

Jan 2023 – Jan 2024 · 1 yr · India · Remote

  • SupportLogic builds AI-driven customer support intelligence solutions.
  • Built and productionized NLP and classifier models to detect customer sentiment, urgency, and escalation signals — improving support insight accuracy by 25%.
  • Partnered with product and data teams to design automated onboarding pipelines that reduced customer setup time by 40%.
  • Developed and deployed enterprise-scale inference systems on Google Vertex AI, achieving 99% uptime and 30% lower latency for real-time signal detection.
  • Tech stack: Python, PyTorch, Vertex AI, GCP, NLP, MLOps
PyTorchPython (Programming Language)Natural Language Processing (NLP)Machine Learning AlgorithmsLarge Language Models (LLM)Google Cloud Platform (GCP)+1

Udemy

Course Creator and Instructor

Oct 2021 – Jan 2022 · 3 mos

  • Build and deploy a COVID-19 Question Answering system using Artificial Intelligence and NLP
  • Technology: NLP, Deepset, Transformer, Fastapi, Elasticsearch, Streamlit

Navedas

Founding Engineer

Jun 2019 – Aug 2023 · 4 yrs 2 mos · Hyderabad Area, India

  • Navedas builds AI systems that transform customer experience for enterprise support teams.
  • Led the development of CSAT.AI, an AI-driven QA and analytics platform used by multiple enterprise clients across the US.
  • Gathered, augmented, and trained NLP models for emotion detection, QA automation, and agent scoring, boosting ticket coverage from 5% to 100%.
  • Architected and maintained full-stack applications (frontend + backend) enabling evaluation of 10K+ support tickets daily.
  • Optimized model performance and reduced cloud inference costs by 40% through pipeline re-engineering and caching improvements.

Veritas technologies llc

Associate Software Engineer

Jul 2018 – Jun 2019 · 11 mos · Pune, Maharashtra, India

  • . Performed optimisation of the metadata collection time for VxFS by 30-70% with multi-threading in C along with a live status display
  • . Built a size estimator of metadata of a file system using statistical inference on i-node information
  • . Contributed on enabling the LKU (Live Kernel Update) feature of VxFS for AIX operating system

Sigma analytics and computing

AI intern

May 2017 – Dec 2017 · 7 mos · Bhubaneshwar Area, India

  • . Revised DL model serving from flask to TensorFlow-serving and client calls from http to grpc, resulting in a 3x increase in inference speed
  • . Prepared a Web-App showcase of an OCR tool and a sentiment analyser along with building and deployed of those models

Education

Liverpool John Moores University

Master's degree — Machine Learning and AI

Jan 2021 – Jan 2023

National Institute of Technology Rourkela

Bachelor’s Degree — Computer Science

Jan 2014 – Jan 2018

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