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Dinesh Sai Veluru

Technical Product Manager | AI & Agentic Platforms | 0-1 | Data & Analytics | Enterprise SaaS Delivery | PSPO I

Hyderabad

8+ years of work experience

Amdocs
Aug 20251 yr 1 moPresent

Pune City, Maharashtra, India

Functional Role: Technical Product Manager / Product Owner 🔹 AI Workflow Delivery: Own the product backlog and end to end delivery for internally deployed agentic AI workflows across delivery teams, eliminating recurring high priority escalations across multiple APAC and EMEA tracks. 🔹 Multi Agent Orchestration: Built the Jira Multi Agent Orchestration Engine, MCP integrated, cutting manual task creation by 40 to 80% across Jira, Confluence, and Bitbucket. 🔹 RAG Diagnostics Platform: Shipped Aegis, a RAG based diagnostics platform that cut revenue leakage investigation time from about 60 minutes to under 10 minutes, now the primary triage tool for Technical Support and GSS. 🔹 AI Governance: Defined AI acceptance criteria, human in the loop checkpoints, and LLM output quality gates using Ollama and vLLM, so agent outputs met sprint readiness before entering live delivery. 🔹 Platform Analytics: Converted Grafana and Dynatrace signals into a self serve Health Check Dashboard adopted by Technical Support, GSS, and Delivery as the primary production quality monitor. 🔹 Executive Sponsorship: Sustained AI portfolio executive sponsorship through business impact QBRs and ran Centre of Excellence peer enablement forums to scale adoption across other accounts.
Amdocs
Mar 20241 yr 6 mosAug 2025

Pune District, Maharashtra, India

Functional Role: Lead Product Owner and Technical Lead 🔹 Regulatory Billing Delivery: Led technical delivery for the Azercell (Azerbaijan) transformation, owning core billing and charging module implementation and ensuring the architecture met local regulatory requirements while handling peak traffic for millions of subscribers. 🔹 Automated Validation Framework: Architected an automated validation framework for RevenueOne, developing Python based scripts to automate complex rating and discounting scenarios and cutting manual technical verification effort by 25%. 🔹 Early AI Automation: Introduced early stage AI automation for technical discovery, implementing LLM based templates that synthesized client requirements into technical specs and laid the groundwork for the AI Persona framework used in the current role. 🔹 Performance Optimization: Partnered with engineering to resolve architectural bottlenecks in RevenueOne modules, achieving a 20% improvement in PostgreSQL query execution for high volume billing cycles. 🔹 Cross Functional Roadmap Coordination: Acted as the primary technical point of contact between onsite teams and global delivery centers, aligning product features with regional business needs across the Azerbaijan market.
Amdocs
May 20221 yr 10 mosFeb 2024

National Capital Region, Philippines

Functional Role: Domain Solution Expert / Scrum Product Owner - Technical 🔹 Platform Transformation: Owned a Java to microservices platform transformation for a Tier-1 APAC telecom operator end to end, from requirement gathering and roadmap through production go live, leading cross functional teams of 2 to 5 teams as scrum master and mentor across multiple sprints and iterations under the Agile framework. 🔹 Full SDLC Ownership: Carried the product through every phase of the delivery roadmap, planning against high level client needs, analyzing the existing Java product to correlate requirements, discovering and designing new solutions suited to the client, engaging multiple scrum teams through development, supporting Portfolio, Integration, Business UAT, and Performance testing, and carrying the release through to complex distributed production systems before handing the product over to operations and maintenance. 🔹 Large Scale Migration: Delivered a 150M+ subscriber migration from SQL to PostgreSQL as part of the Java to microservices upgrade, with zero data integrity incidents and zero downtime. 🔹 Data Governance: Closed data contracts across every impacted unit, assigned data stewardship, and used Dynatrace lineage analysis to isolate a high latency query path during performance testing. 🔹 Custom Framework: Identified a gap in the core product's batch processing framework and drove the spec for a custom Mass Batch Framework, turning a technical risk into a client differentiator. 🔹 AI Tooling Exposure: Worked hands on with Tabnine, GitHub Copilot, and Amazon CodeWhisperer as part of the broader engineering toolchain during this engagement.
Training & Placement Cell, NIT Agartala
Apr 20161 yr 2 mosMay 2017

Agartala, Tripura, India

Training @ Bharat Sanchar Nigam Limited
Jun 20152 mosJul 2015

Greater Hyderabad Area

Got a very good knowledge on Telecommunications and basic concepts of networking and Wireless Technology(Mobile Communication). KEY SKILLS: • MOBILE TECHNOLOGIES: GSM, CDMA, 3G and 4G • MODERN TRANSMISSION TECHNOLOGIES: OFC & SDH • NEXT GENERATION NETWORKS: working of Digital Exchanges • IT & NETWORKING: IPV4, IPV6, LAN, Router Configuration • SWITCHING: Connection between Wired and Wireless networks
Training @ Bharat Sanchar Nigam Limited
Jun 20152 mosJul 2015

India

Jul 20134 yrsJun 2017

India

Dinesh’s AI Stack

antigravity
antigravity
codex
codex
cursor
cursor

Education

National institute of technology Agartala

Bachelor’s Degree, Electronics and Communications Engineering

National institute of technology Agartala

20134 yrs2017
narayana junior college

Associate’s Degree, Maths,Physics and Chemistry

narayana junior college

20112 yrs2013

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Headline

Technical Product Manager | AI & Agentic Platforms | 0-1 | Data & Analytics | Enterprise SaaS Delivery | PSPO I

About

I'm a Technical Product Manager with 9 years at Amdocs, and data is where I do my best work. I've owned backlog, roadmap, and governance risk for a 150M+ subscriber migration (SQL → PostgreSQL) — delivered with zero data-integrity incidents — and built the data contract, lineage, and stewardship model that made a migration at that scale safe. I define the KPIs, SLA/SLOs, and data models that other teams build against, not just consume. Over the last year I've extended that same discipline into AI product delivery, shipping agentic systems that are live in production today, not prototypes: → Owned the backlog and PRD for an MCP-integrated multi-agent orchestration engine that cut manual task creation by 40–80% → Shipped a RAG-based diagnostics platform (Aegis) that reduced revenue-leakage investigation time from ~60 minutes to under 10 minutes, now the primary triage tool for Technical Support and GSS → Defined AI acceptance criteria, human-in-the-loop checkpoints, and LLM output quality gates so agent outputs met sprint-readiness before reaching live delivery I run programs the way I'd want a PM to run mine: grounded in real telemetry (Grafana, Dynatrace, P95/P99 data) rather than assumptions, and focused on adoption — not just launch. I sustain executive sponsorship for the AI portfolio through business-impact QBRs and run Centre-of-Excellence forums to scale what's working across other teams. PSPO I certified. Cross-stack fluency across microservices, PostgreSQL, REST APIs, and AWS means I can go deep with engineering without needing a translator. Currently exploring Technical Product Manager / AI Product Manager roles in Data & Analytics, FinTech, and FinOps — particularly at GCCs building out product organizations in Hyderabad. Open to a conversation if you're hiring for one of these.

Location

Hyderabad

AI stack

antigravity

codex

cursor

Work experience

Professional Services Specialist at Amdocs, Aug 2025 - Present · 1 yr 1 mo, Pune City, Maharashtra, India, Functional Role: Technical Product Manager / Product Owner 🔹 AI Workflow Delivery: Own the product backlog and end to end delivery for internally deployed agentic AI workflows across delivery teams, eliminating recurring high priority escalations across multiple APAC and EMEA tracks. 🔹 Multi Agent Orchestration: Built the Jira Multi Agent Orchestration Engine, MCP integrated, cutting manual task creation by 40 to 80% across Jira, Confluence, and Bitbucket. 🔹 RAG Diagnostics Platform: Shipped Aegis, a RAG based diagnostics platform that cut revenue leakage investigation time from about 60 minutes to under 10 minutes, now the primary triage tool for Technical Support and GSS. 🔹 AI Governance: Defined AI acceptance criteria, human in the loop checkpoints, and LLM output quality gates using Ollama and vLLM, so agent outputs met sprint readiness before entering live delivery. 🔹 Platform Analytics: Converted Grafana and Dynatrace signals into a self serve Health Check Dashboard adopted by Technical Support, GSS, and Delivery as the primary production quality monitor. 🔹 Executive Sponsorship: Sustained AI portfolio executive sponsorship through business impact QBRs and ran Centre of Excellence peer enablement forums to scale adoption across other accounts.

Software Development Specialist at Amdocs, Mar 2024 - Aug 2025 · 1 yr 6 mos, Pune District, Maharashtra, India, Functional Role: Lead Product Owner and Technical Lead 🔹 Regulatory Billing Delivery: Led technical delivery for the Azercell (Azerbaijan) transformation, owning core billing and charging module implementation and ensuring the architecture met local regulatory requirements while handling peak traffic for millions of subscribers. 🔹 Automated Validation Framework: Architected an automated validation framework for RevenueOne, developing Python based scripts to automate complex rating and discounting scenarios and cutting manual technical verification effort by 25%. 🔹 Early AI Automation: Introduced early stage AI automation for technical discovery, implementing LLM based templates that synthesized client requirements into technical specs and laid the groundwork for the AI Persona framework used in the current role. 🔹 Performance Optimization: Partnered with engineering to resolve architectural bottlenecks in RevenueOne modules, achieving a 20% improvement in PostgreSQL query execution for high volume billing cycles. 🔹 Cross Functional Roadmap Coordination: Acted as the primary technical point of contact between onsite teams and global delivery centers, aligning product features with regional business needs across the Azerbaijan market.

Software Development Specialist at Amdocs, May 2022 - Feb 2024 · 1 yr 10 mos, National Capital Region, Philippines, Functional Role: Domain Solution Expert / Scrum Product Owner - Technical 🔹 Platform Transformation: Owned a Java to microservices platform transformation for a Tier-1 APAC telecom operator end to end, from requirement gathering and roadmap through production go live, leading cross functional teams of 2 to 5 teams as scrum master and mentor across multiple sprints and iterations under the Agile framework. 🔹 Full SDLC Ownership: Carried the product through every phase of the delivery roadmap, planning against high level client needs, analyzing the existing Java product to correlate requirements, discovering and designing new solutions suited to the client, engaging multiple scrum teams through development, supporting Portfolio, Integration, Business UAT, and Performance testing, and carrying the release through to complex distributed production systems before handing the product over to operations and maintenance. 🔹 Large Scale Migration: Delivered a 150M+ subscriber migration from SQL to PostgreSQL as part of the Java to microservices upgrade, with zero data integrity incidents and zero downtime. 🔹 Data Governance: Closed data contracts across every impacted unit, assigned data stewardship, and used Dynatrace lineage analysis to isolate a high latency query path during performance testing. 🔹 Custom Framework: Identified a gap in the core product's batch processing framework and drove the spec for a custom Mass Batch Framework, turning a technical risk into a client differentiator. 🔹 AI Tooling Exposure: Worked hands on with Tabnine, GitHub Copilot, and Amazon CodeWhisperer as part of the broader engineering toolchain during this engagement.

Training and Placement coordinator at Training & Placement Cell, NIT Agartala, Apr 2016 - May 2017 · 1 yr 2 mos, Agartala, Tripura, India

Advanced Telecommunications and its Appliances at Training @ Bharat Sanchar Nigam Limited, Jun 2015 - Jul 2015 · 2 mos, Greater Hyderabad Area, Got a very good knowledge on Telecommunications and basic concepts of networking and Wireless Technology(Mobile Communication). KEY SKILLS: • MOBILE TECHNOLOGIES: GSM, CDMA, 3G and 4G • MODERN TRANSMISSION TECHNOLOGIES: OFC & SDH • NEXT GENERATION NETWORKS: working of Digital Exchanges • IT & NETWORKING: IPV4, IPV6, LAN, Router Configuration • SWITCHING: Connection between Wired and Wireless networks

Training on Advanced Telecommunications and its appliances at Training @ Bharat Sanchar Nigam Limited, Jun 2015 - Jul 2015 · 2 mos, India

Undergraduate Student at Final Year Student (ECE), Jul 2013 - Jun 2017 · 4 yrs, India

Education

Bachelor’s Degree, Electronics and Communications Engineering, National institute of technology Agartala

Associate’s Degree, Maths,Physics and Chemistry, narayana junior college