Technical Program Manager | AI Builder (RAG, Gemini, LLMs) | Security & Data Infrastructure | Ex-Google, Ex-Cisco | CCNA

Bengaluru, Karnataka, India
Remote

Hyderabad, Telangana, India

Bengaluru, Karnataka, India

Bhubaneswar, Odisha, India





Bachelor of Technology, Computer Science
Biju Patnaik University of Technology, Odisha
Higher Secondary Education, Science
BJB Junior college
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Download Tal BossTechnical Program Manager | AI Builder (RAG, Gemini, LLMs) | Security & Data Infrastructure | Ex-Google, Ex-Cisco | CCNA
Technical Program Manager specializing in 0-to-1 product architecture, enterprise data infrastructure, and global security rollouts. Combines the rigorous enterprise execution of Google (managing $37M portfolios and strict compliance protocols) with hands-on technical agility (leveraging AI-assisted development to accelerate delivery velocity while maintaining production-grade reliability standards). Proven track record of navigating strict global compliance frameworks and aligning cross-functional teams to deliver scalable, highly available enterprise solutions. At Google, I managed a $37M global portfolio and drove the engineering design of a logic-based routing engine that eliminated manual triage and cut critical system backlog by 50% in 90 days. I architected real-time SQL/PLX telemetry pipelines for Director-level operational intelligence, established automated P0/P1 alerting that delivered 40% faster incident response, and scaled a core workflow to 5 international sites, reducing TAT 12% across 50,000+ monthly transactions. A deep-dive into FY26 billing logic identified shift-premium miscalculations, driving $2M in direct cost avoidance. At Cisco, I built automated Python test suites for enterprise FTD/ASA firewalls, delivered a critical bug fix that improved device efficiency by 15%, and conducted RCA on system-level failures for globally deployed products. I'm also a hands-on AI builder. I founded and shipped ScreenGod - a live Android app on Google Play, powered by Gemini API, a full RAG pipeline (indexing, retrieval thresholds, relevance scoring), Firebase model telemetry, and structured prompt A/B experiments across Claude, ChatGPT, and Gemini. I understand the engineering stack beneath LLMs, not just the PM layer above it. Currently building at the intersection of fintech and AI as a Technical Program Manager, while actively developing expertise in Staff TPM and Engineering Program Manager competencies for complex global programmes. PMP · Google PM Professional · Cisco CCNA · Azure Fundamentals · Six Sigma · McKinsey Forward Portfolio: omkarg.co.in | ScreenGod on Play Store
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Technical Program Manager at Tracxn, May 2026 - Present · 6 mos, Bengaluru, Karnataka, India, Leading 0-to-1 product strategy and technical execution for a B2B fintech intelligence platform. Driving GTM design, customer discovery with enterprise financial institutions, and end-to-end architecture decisions across a Next.js / Node.js / PostgreSQL stack. Leveraging AI-assisted development to accelerate delivery velocity while maintaining production-grade reliability standards.
Creator & Product Manager — ScreenGod (Android) — Live on Google Play at Screengod, Oct 2025 - Mar 2026 · 6 mos, Remote, AI Product | Generative AI | LLMs | RAG | Prompt Engineering | Claude Code | Android Development Launched end-to-end product: shipped ScreenGod (Android Studio / VS Code → Play Store) using the Gemini API for production calls and ChatGPT/Claude for prompt benchmarking; responsible for roadmap, QA and release. RAG & factuality: designed a retrieval-augmented generation pipeline to ground answers and reduce hallucinations; engineered indexing, retrieval thresholds and relevance scoring to balance precision and latency. Prompt engineering & model evaluation: ran structured prompt A/B experiments across multiple models, defined human+automated evaluation metrics, and logged prompts + responses + user ratings to create a labeled dataset for iteration. Instrumentation & model ops: integrated Firebase + Crashlytics, added custom event tracking (Acquisition → Activation → Retention) and model-quality telemetry (hallucination incidents, latency, cost per query) to prioritize work. Cost, performance & scaling: implemented query caching, batching, and dynamic model selection to reduce per-query costs while meeting mobile latency targets. Growth & product experiments: ran ASO experiments, onboarding A/B tests and targeted community outreach; synthesized qualitative interviews into a prioritized 90-day roadmap. Privacy & compliance: authored the privacy & data handling flow required for Play Store compliance and enterprise-ready conversations. Tech & tooling: Gemini API, ChatGPT, Claude, GitHub Copilot, Cursor, Android Studio, VS Code, Supabase (auth + storage), Firebase, Crashlytics, Play Store.
Project Manager at Google, Mar 2024 - May 2026 · 2 yrs 3 mos, Hyderabad, Telangana, India, Technical Program Execution: Authored technical PRDs and drove cross-functional engineering execution to build a logic-based routing engine for the AER platform. Designed metadata parsing rules that eliminated manual triage, reducing critical system backlog by 50% in 90 days. • Telemetry & OKR Tracking (SQL/PLX): Architected real-time data pipelines to provide leadership with high-fidelity situational awareness. Established automated P0/P1 alerting that exceeded quarterly OKRs by enabling a 40% faster incident response time. • Cross-Functional Infrastructure Rollouts: Led the end-to-end technical evaluation and pilot of a Confidential VPN solution. Aligned IT, Security, and external stakeholders to secure an enterprise network architecture meeting strict global compliance protocols. • System Scalability & Process Engineering: Drove the global scaling of the "Greatwave" workflow across 5 international sites. Identified systemic bottlenecks and optimized execution logic, reducing Turnaround Time (TAT) by 12% across 50,000+ monthly transactions. • Strategic Governance & Data Modeling: Orchestrated the FY26 OPEX forecast for a $37M global portfolio. Conducted a technical deep-dive into billing logic to identify shift premium miscalculations, driving $2M in direct cost avoidance and improving forecast accuracy by 15%.
Software Test Engineer Trainee at Cisco, Dec 2022 - Mar 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, Focused on ensuring the performance, stability, and quality of Cisco's core networking OS. Responsibilities included: Catalyzed System Performance Enhancements Influenced Design for Testability & Reliability Developed Automated Validation Frameworks: Designed and implemented automated test suites [Python] to rigorously validate complex system interactions and features, increasing testing efficiency. Analyzed Complex Technical Issues: Conducted root-cause analysis of intricate software and system-level problems reported from testing or early field trials, developing detailed reports to guide engineering fixes. Played a pivotal role in the rigorous testing of Cisco FTD devices, encompassing both manual and automated testing procedures, aimed at future release versions. Successfully executed and documented over 20+ Test Cases, diligently identifying and reporting high- severity (Sev4) bugs to enhance product quality. Spearheaded a critical bug fix that resulted in a remarkable 15% improvement in device efficiency, affecting operations, loading time, and application size. This enhancement contributed to a 5% increase in overall company productivity, making the feature widely adopted. Actively participated in architectural design discussions with Lead Engineers and the team, offering valuable insights to shape the product's architectural direction. Technology Used:- Python, Pycharm, Cisco ASA, FTD, FMC, FCM, TeraVM, Termius. Conducted comprehensive analysis and meticulous tracing of the existing Legacy Codebase of Cisco ASDM. Identified and documented critical errors and challenges within the legacy codebase, subsequently initiating Change Request Reports (CRR) for resolution. Technology Used:- Java, Eclipse, GoLang, Cisco ASDM. Played a key role in the automation engineering team, focusing on the DHCP-v6 feature for VPN. Collaborated with developers to identify and resolve software defects, improving the overall quality of the DHCP-v6 feature.
Software Engineer Intern and Independent Developer at SimpleeKare, Aug 2021 - Dec 2022 · 1 yr 5 mos, Bhubaneswar, Odisha, India, - Contributed to ReactJS enterprise applications; completed intensive DSA and Python scripting training, deliberately building the technical foundation to transition into enterprise network engineering and technical operations - Also Performed Testing and Bug Fixing.
Bachelor of Technology, Computer Science, Biju Patnaik University of Technology, Odisha
Higher Secondary Education, Science, BJB Junior college