Oct 2025 – Mar 2026 · 5 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.

Mar 2024 – May 2026 · 2 yrs 2 mos · Hyderabad · On-site

• 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%.

Dec 2022 – Mar 2024 · 1 yr 3 mos · Bengaluru

• 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.

Aug 2021 – Dec 2022 · 1 yr 4 mos · Bhubaneswar

• 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.