Open to senior AI product roles· Bengaluru · Hyderabad · Dubai · Remote
AI Product Leader building intelligent products that move business metrics.
9+ years across software engineering, digital products and enterprise AI. I work at the intersection of product strategy, AI systems and customer experience, turning complex problems into scalable products with measurable outcomes.
Watch the demos
- Role
- AI Product Manager, enterprise AI
- Now
- Owns AT&T's GenAI virtual assistant
- Based
- Chennai, India · IST, UTC+5:30
- Open to
- Bengaluru · Hyderabad · Dubai · Remote
- Status
- Open to senior AI product roles
Selected impact
Figures from production programs. Savings are estimates.
- Monthly AI interactions
- 1.5M+
- AT&T GenAI Virtual Assistant
- Estimated annual operational savings
- $4.2M
- AT&T GenAI Virtual Assistant
- Reduction in live-agent escalations
- 28%
- AT&T GenAI Virtual Assistant
- Years across engineering, product and AI
- 9+
- Infosys · Verizon · AT&T
- Containment rate
- 55%
- AT&T GenAI Virtual Assistant
- Lower average handle time per interaction
- 32 sec
- AT&T GenAI Virtual Assistant
- NPS improvement
- +8 pts
- AT&T GenAI Virtual Assistant
- Incremental revenue influenced, FY21
- $1.5M+
- Verizon Digital & Assisted Sales
Selected work
Three case studies, each showing a different muscle: scaling an enterprise AI product, commercial experimentation, and inventing a product from an ambiguous problem.
What I build
Three areas, one job: turning a business problem into a product that moves a number.
AI Products
Conversational and generative AI that customers actually use: intent design, grounded retrieval, and the guardrails that keep answers trustworthy at scale.
- Conversational AI
- RAG
- LLMs
- Agentic AI
- Customer experience AI
Enterprise Products
The integration work that turns a model's answer into a resolved issue: APIs, CRM and telephony, channels, and the workflows between them.
- APIs
- CRM integration
- Omnichannel experiences
- Digital platforms
- Workflow automation
Product Strategy
Deciding what to build and proving it worked: discovery, roadmaps, experiments and metrics, delivered across squads and stakeholders.
- Product discovery
- Roadmaps
- Experimentation
- Analytics
- Product metrics
- Cross-functional delivery
Skills and competencies
What a hiring team screens for, each tied to where I used it and what it produced.
AI quality and safety
AT&T
Defined the assistant's KPI framework: 15+ metrics in Power BI and SQL, including 92% intent-recognition accuracy. Low-confidence answers go to human review, and token cost is tracked against response times.
- KPI frameworks
- AI performance monitoring
- Human-in-the-loop review
- LLM cost and latency
Conversation design
AT&T
Led conversation design across 350+ intents and 1,200+ training phrases, with RAG-powered knowledge retrieval, for chat, voice, WhatsApp and RCS.
- Google CCAI
- Dialogflow CX / ES
- Genesys Cloud CX
- NLP
- Support automation
Technical depth
Infosys · AT&T · DeviceFlex
Senior software engineer at Infosys from 2016 to 2020. Architected the REST integrations linking AT&T's AI layer to telephony and CRMs, and built DeviceFlex solo as a working 17-route prototype.
- Python
- SQL
- Java
- React
- REST APIs
- Azure
Agile delivery at scale
AT&T · Verizon
Own backlog and sprint planning for 2 squads (18 developers) in SAFe at 95% sprint-commitment reliability. At Verizon, coordinated 4 concurrent SAFe workstreams with under 4% sprint spillover.
- SAFe
- Scrum
- Product ownership
- BRD / PRD
- Data-flow mapping
Stakeholders and budgets
AT&T · Verizon
Aligned the AI roadmap with CX goals alongside US product owners, enterprise architects and business SMEs, helping secure a $2.5M FY25 budget. At Verizon, led cross-functional delivery at 94% on time.
- Roadmap alignment
- Business cases
- Stakeholder management
- Cross-functional leadership
Personalization and commerce
AT&T · Verizon
AT&T's Retail Hyper-Personalization Program lifted recommendation click-through 15%. At Verizon, funnel analysis and A/B tests across retail, consumer and B2B shaped requirements for 15+ features.
- Recommendations
- A/B testing
- Funnel analysis
- Market research
- Retail and e-commerce
Certifications
- SAFe 6 Lean Portfolio Manager2024
- SAFe 6 Agilist2023
- SAFe 6 Product Owner / Product Manager2023
- Microsoft Azure AI Fundamentals2023
- Certified Scrum Product Owner (CSPO)2022
Education
B.E., Mechanical Engineering
Velammal Engineering College, Anna University · Distinction, CGPA 8.596
An AI agent that does the legwork
Hand my Hiring Agent your job description.
It reads the role, maps every requirement to evidence from my work, scores the fit honestly, then drafts your outreach email and a calendar invite. You approve every action.
- 01Reads your job descriptionAn LLM extracts each requirement into a fixed skills vocabulary.
- 02Maps it to evidenceEvery requirement is matched to proof from my verified record.
- 03Scores the fit, honestlyDeterministic, explainable scoring. Gaps are shown, not hidden.
- 04Drafts the next stepAn outreach email, a calendar invite and a brief, for you to approve.
Contoso Telecom
Senior AI Product Manager, Conversational AI
Strong fit
- You will own the roadmap for our customer-care virtual assistant across chat, voice and messaging, used by millions of customers every monthStrong
- Define product strategy and roadmap for GenAI-powered customer service experiencesStrong
- Improve containment and reduce escalations while raising CSAT and NPSStrong
- Partner with engineering, data science and operations to ship LLM and RAG features safelyStrong
- Design experiments (A/B tests) and define the KPIs that prove impactStrong
How I think about AI products
Start with the problem
AI is a means, not the product.
In practice: At AT&T the assistant exists to absorb repetitive contacts and costly escalations, so containment, not model choice, is the headline metric.
Design for measurable outcomes
Every product should have a meaningful success metric.
In practice: The assistant runs on 15+ tracked KPIs: containment is balanced by intent accuracy, fallback rate and CSAT.
Build for production
Security, cost, latency, architecture and operations matter.
In practice: Token spend and response times are reviewed with engineering, and low-confidence answers are routed to human review.
Iterate with evidence
Experiments and data beat assumptions.
In practice: At Verizon, three-year device payment plans were piloted before scaling: $320K in pilot revenue and a 14% higher upgrade rate.
From the AI Lab
Experiments outside the day job, each started from a product question I wanted answered with working software.
Career trajectory
Engineering first, then customers and revenue, then AI products at scale. Each step added a layer the next one needed.
2016 – 2020
Software engineering
Infosys
Senior Software Engineer
Full-stack modernization of Boeing's Work Statement Requirement Database for 1,200+ maintenance engineers.
- 6 major releases, 99.2% uptime after launch
- $2.8M estimated annual savings from 25% faster scheduling
2020 – 2022
Digital product & consulting
Verizon
Consultant, Digital & Assisted Sales
Funnel analysis, experiments and requirements across retail, consumer and B2B commerce journeys.
- $1.5M+ incremental revenue in FY21
- 15+ features shipped at 94% on-time delivery
2022 – Present
Enterprise AI product
AT&T
AI Technical Business Analyst (Product Manager)
End-to-end product owner of AT&T's GenAI virtual assistant across chat, voice, WhatsApp and RCS.
- 1.5M+ monthly interactions at 55% containment
- $4.2M estimated annual savings; $2.5M FY25 budget secured
Full detail is in the résumé (PDF).
Recognition
Innovation awards for new product ideas, and team awards for products that shipped.
2026
AT&T Innovation Jam: Best in Show / All Around
AT&T Helios, Zero Friction Convergence: an AI-fueled, one-click bundle experience.
- 2025AT&T Hackathon · 1st PlaceHyper-personalization of the international travel experience.
- 2025Equitech Hackathon · Most Impactful Business SolutionJudged the most impactful business solution of the event.
- 2023AT&T Connection Award · Virtual Assistant teamRecognized by AT&T's Consumer Technology & Experience organization.
- 2021Verizon Spotlight Award · Customer ExcellenceRecognized by Verizon's GTS team.
Ashfaque brought the best of innovation, product development and teamwork to our hackathon. He and his team won the Best in Show Award… His creative thinking enabled us to take a novel approach to improving an important aspect of customer experience.
Building an AI product, scaling an enterprise AI experience, or figuring out where AI actually creates value?
I work at the intersection of product strategy, AI systems and execution.