NILESH HANOTIA
AI Implementation Lead | POC-to-Production Specialist | Enterprise AI Deployment
Ahmedabad, India | +91-9925537229 | nilesh.hanotia@outlook.com
CERTIFICATIONS
AWS Certified AI Practitioner | Amazon Web Services
PROFESSIONAL SUMMARY
AI implementation leader with 7+ years driving enterprise AI deployments from first discovery call through
production go-live. Specialise in POC design and execution, stakeholder alignment, and translating complex
LLM/AWS architectures into measurable business outcomes. At Armakuni, serve as the bridge between technical
delivery teams and enterprise clients — owning the full 11-stage POC lifecycle: project allocation, internal/external
kick-offs, weekly governance, execution, testing, delivery, and path-to-production planning. Independently
delivered 6+ AI products generating $5M+ combined revenue, with proven impact in healthcare, legal, analytics,
and automation domains.
CORE COMPETENCIES
AI Implementation & POC Delivery: End-to-end POC lifecycle ownership, POC→Production roadmapping,
enterprise AI adoption strategy, deployment governance, MVP scoping, client validation
Technical Fluency: LLM pipelines & AI workflows, AWS services (Lambda, Bedrock, API Gateway, DynamoDB,
CloudWatch), serverless architecture, API integrations, solution architecture collaboration, logging & observability
(Langfuse, Langsmith)
Stakeholder & Delivery Leadership: Executive alignment, discovery workshops, SOW-to-delivery conversion,
weekly PSR reporting, risk & escalation management, account expansion strategy, cross-functional team
coordination
PROFESSIONAL EXPERIENCE
Customer Solution Consultant (CSC) — AI Implementation — Armakuni 2025 – Present
Own end-to-end delivery of AI POCs and rapid engagements (5–8 weeks) across enterprise clients in healthcare,
legal, and automation sectors.
• Drive the full 11-stage POC lifecycle: project allocation, SOW review, internal/external kick-offs, planning,
weekly governance, execution oversight, testing & client validation, delivery, and path-to-production.
• Convert Statements of Work into executable delivery plans with milestones, sprint cadences, RACI matrices,
and risk registers.
• Serve as primary bridge between developers, solution architects, DevOps, and enterprise client
stakeholders — ensuring technical decisions align with business outcomes.
• Lead weekly executive reporting (PSR), risk management, and scope control; escalate proactively across a
structured L1→L3 escalation matrix.
• Develop deep working knowledge of AWS services (Lambda, Bedrock, API Gateway, CloudWatch) and LLM
pipeline architecture to engage credibly with both technical teams and client leadership.
• Create and maintain technical documentation — process flows, README files, test cases — to ensure
production readiness from day one of execution.
• Facilitate path-to-production workshops with clients, mapping POC learnings to scalable architecture,
compliance requirements (GDPR, HIPAA), and business value expansion plans.
• Identify account expansion, cross-sell, and upsell opportunities, contributing to long-term Armakuni account
growth strategy.
AI Product & Implementation Lead — Independent Consultant 2021 – 2025
Delivered AI products end-to-end — from problem discovery and architecture design through deployment, user
adoption, and ongoing iteration — serving 10,000+ users across multiple industries.
• Designed and deployed 6+ production AI systems generating $5M+ combined revenue across healthcare,
legal, enterprise analytics, and automation domains.
• Led full AI product lifecycle: stakeholder discovery, requirements definition, LLM workflow design, MVP
build, UAT, and phased production rollout.
• Reduced manual client workflows by 80–90% through targeted AI automation, directly measurable in client
operations.
• Translated complex enterprise business needs into implementable technical architectures — working hands-
on across AWS, API integrations, and AI/LLM pipelines.
• Built and validated AI products with real users, iterating rapidly based on adoption data and feedback to
drive retention and expansion.
• Simultaneously built independent projects including real-time trading systems on AWS (Lambda,
DynamoDB, API Gateway, Bedrock, CloudWatch) — deepening hands-on serverless and AI infrastructure
expertise.
EARLIER CAREER
Product Analyst — Cignex Datamatics 2020 – 2021
Business Product Analyst — Cygnet Infotech 2019 – 2020
Associate Product Manager — Aimdek Technologies 2017 – 2019
TECHNICAL TOOLING
Cloud & AI: AWS (Lambda, Bedrock, API Gateway, DynamoDB, CloudWatch, CloudFront, CDK) | LLM
Pipelines | Langfuse | Langsmith
Dev & Data: Python | SQL | APIs | Docker | Tableau | Mixpanel
Delivery & Design: Jira | Zoho Projects | Figma | Panda.doc | Agile/Scrum
EDUCATION
Post Graduate Diploma in Business Administration — St. Kabir Institute
Bachelor of Commerce — IGNOU