Ratnesh Singh

Director of Engineering

Bengaluru, Karnataka, India15 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led AI-driven innovation at Google.
  • Delivered high-performance AI/ML solutions.
  • Mentored engineers in AI/ML strategy.
Stackforce AI infers this person is a leader in AI and embedded systems engineering.

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Skills

Core Skills

Artificial Intelligence (ai)Natural Language Processing (nlp)Generative AiPrompt EngineeringEngineeringCross-functional Team LeadershipEmbedded SoftwareMultithreading

Other Skills

AWSKubernetesAPI GatewayWindowsSCADAIEC 61850Software ManagementSoftware DevelopmentSecurityAgile MethodologiesDistributed SystemsMachine LearningEmbedded LinuxMicrocontrollersWindows Communication Foundation (WCF)

About

As an Engineering Manager at Google, I lead AI-driven innovation that harnesses the transformative power of Generative AI, Large Language Models (LLM), Natural Language Processing (NLP), AI Agents, and Prompt Engineering to deliver scalable, intelligent solutions that redefine user experiences and solve complex real-world problems. My charter is to explore, design, and deliver cutting-edge AI systems that empower teams and customers, enabling Google to stay at the forefront of AI advancements. With 14+ years of engineering leadership experience, I have guided cross-functional teams to architect and deploy high-performance AI/ML solutions that drive measurable impact. My leadership blends technical expertise, strategic vision, and team empowerment to deliver innovation at scale. I lead teams of 7–80 engineers (onshore/offshore), fostering a culture of ownership, collaboration, and continuous learning through mentorship, performance reviews, and growth workshops. I define and execute multi-quarter AI roadmaps, aligning with product vision and customer needs to maximize impact. My expertise spans AI/ML frameworks (TensorFlow, PyTorch, predictive analytics, anomaly detection), Natural Language Processing (NLP for knowledge extraction, policy compliance, conversational AI), Generative AI, AI Agents, and Prompt Engineering for large-scale AI solutions. I orchestrate architecture design, AI model evaluation, system integration, and operational scalability to deliver robust, intelligent platforms. Key achievements include leading teams to build AI-powered systems that process and interpret natural language, converting complex queries into actionable insights with unprecedented accuracy; optimizing AI pipelines to deliver high-quality results at scale; and shaping AI strategies that enhance performance and reliability. I am passionate about applying AI to solve customer challenges, improve decision-making, and create intelligent systems that transform industries. I mentor engineers and leaders in AI/ML strategy, system design, and prompt engineering, helping them build expertise and innovate confidently. My mission is to empower teams to explore the frontiers of AI, delivering solutions that are not only technically advanced but also ethically grounded and customer-centric. Let’s connect to discuss AI leadership, generative AI innovation, and building the next generation of intelligent systems.

Experience

15 yrs
Total Experience
3 yrs 7 mos
Average Tenure
7 mos
Current Experience

Google

Software Engineering Manager

Oct 2025Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

  • As an Engineering Manager at Google, I lead AI-driven innovation that harnesses the transformative power of Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), AI Agents, and Prompt Engineering to deliver scalable, intelligent systems that redefine user experiences and solve complex real-world problems. My charter is to explore, design, and deliver cutting-edge AI platforms that empower teams and customers while keeping Google at the forefront of AI advancements.
  • In this role, I lead and mentor engineering teams of 7–80 members across onshore and offshore locations, fostering a culture of ownership, collaboration, and continuous learning. I define and execute multi-quarter AI roadmaps, aligning engineering execution with product strategy and customer needs. My work spans architecture design, AI model evaluation, system integration, and operational scalability, with a strong focus on secure, reliable, and high-performance system design.
  • I will be working on delivering AI-powered systems capable of processing and interpreting complex natural language queries with high accuracy, optimizing AI pipelines for scalability and performance, and shaping AI strategies that enhance system efficiency and compliance. Projects will include designing and delivering generative AI platforms for contextual content generation, building NLP knowledge extraction engines that turn unstructured data into actionable insights, developing AI Agents frameworks for autonomous reasoning, and advancing prompt engineering workflows to improve large language model outputs.
  • My mission is to empower teams to explore the frontiers of AI, delivering solutions that are technically advanced, ethically grounded, and customer-centric.
Artificial Intelligence (AI)Natural Language Processing (NLP)

Thales

Leader

Mar 2025Sep 2025 · 6 mos · Bengaluru, Karnataka, India · Hybrid

  • As a Technology Leader, I combine deep security expertise with people-centric leadership to build and scale Thales’s Imperva WAF Cloud offering. Over 14+ years I’ve progressed from individual contributor to guiding cross-functional teams, defining technical strategy, and delivering mission-critical cloud WAF solutions.
  • Technology Leadership & Architecture
  • Own the end-to-end design of our multi-tenant WAF platform on AWS (K8s, Lambda, API Gateway), embedding DDoS protection and OWASP defenses.
  • Drive threat modeling and security controls aligned to NIST & PCI DSS—reducing our exploit surface by 45%.
  • Product Roadmap & Delivery
  • Partner with Product, QA, and Customer Success to translate market needs (API security, RASP, bot mitigation) into a prioritized roadmap—achieving 95% on-time feature releases.
  • Facilitate all Agile ceremonies (planning, demos, retrospectives), increasing team velocity by 30%.
  • Cross-Functional Collaboration
  • Serve as the primary liaison among Engineering, DevOps, SOC and UX—ensuring seamless WAF policy integration into CI/CD pipelines and customer dashboards.
  • Host bi-weekly security review boards with senior stakeholders to align on threat intelligence and release readiness.
  • Process, Quality & Metrics
  • Implement automated SAST/DAST pipelines and chaos-testing for WAF rules—cutting production incidents by 60%.
  • Define and track key KPIs (false-positive rate, rule-deployment time, response latency) in Grafana, driving a 50% faster incident response.
  • Introduced IaC (Terraform) and CI/CD (GitLab CI), shrinking environment-provisioning from days to hours.
EngineeringCross-functional Team Leadership

Toshiba software (india) pvt. ltd.

Engineering Leader

Apr 2022Mar 2025 · 2 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

  • Global Collaboration with Japan HQ
  • Partnered with Toshiba Corporation’s Grid Automation Center of Excellence (Japan) to define and standardize SCADA and IEC 61850–based architectures for flagship projects including GR-TIEMS and Densei-BU power systems.
  • Cross-Regional Team Leadership
  • Led a distributed team of 25+ engineers across India, US, Europe and APAC—running weekly leadership syncs, quarterly performance reviews and targeted career­growth workshops to maintain 24/7 operational coverage .
  • GR-TIEMS Platform Delivery
  • Spearheaded the Grid Transmission Intelligent Electronic Management System (GR-TIEMS), a Windows-based IED control tool that improved grid reliability by 50% and reduced fault-response time by 45%.
  • Process Automation & Innovation
  • Implemented IEC 61850 workflow automation and validation pipelines, cutting manual testing overhead by 70% and boosting team efficiency by 60%.
  • 360° Performance & OKR Framework
  • Instituted a structured OKR/KPI program aligned to business goals—driving a 30% uplift in productivity and clear development pathways for all engineers.
  • Awards & Recognition
  • ROA Graph Excellence Award (Japan HQ Annual Award) for outstanding grid-reliability improvements
  • Process Innovation Award (Japan HQ Annual Award) for pioneering automation pipelines
  • 7× Annual Awards from Toshiba HQ for leadership and strategic impact
  • 17× Spot Awards over 5 years for critical deliverables and cross-functional collaboration
Embedded SoftwareMultithreading

Toshiba

2 roles

System Analyst

Jan 2021Mar 2022 · 1 yr 2 mos

  • In this role I blended deep embedded-systems expertise with cross-functional analysis to accelerate delivery of grid-automation solutions:
  • Requirements & System Modeling
  • Collaborated with Japan HQ and field‐engineering teams to elicit and document functional requirements for IEC 61850-compliant SCADA integration, producing UML sequence and state diagrams that reduced downstream change requests by 30%.
  • Embedded Firmware Design
  • Architected and developed multithreaded firmware in Embedded C/C++ and Objective-C on Linux and RTOS platforms, introducing object-oriented patterns that cut code duplication by 40% and improved maintainability.
  • Cross-Platform Integration Services
  • Built C# WCF services to bridge microcontroller telemetry with SQL-backed telemetry stores and dashboards, enabling real-time visibility into field device health and reducing mean time to detection by 25%.
  • Automated Debugging & Diagnostics
  • Designed a custom logging and diagnostic framework—integrating gdb, tracepoints and embedded-Linux printk—to slash critical bug-triage time in half.
  • CI/CD & Quality Improvements
  • Implemented Jenkins-driven build pipelines for Embedded Linux and Windows components, integrating static analysis (Cppcheck) and unit testing to decrease regression defects by 20%.
  • Technical Leadership & Mentorship
  • Led workshops on multithreading, Linux kernel internals and object-oriented design for 5+ engineers and interns, fostering a shared best-practices culture.
  • Agile Collaboration
  • Acted as the nexus between firmware, electrical design, QA and field-support teams—running bi-weekly syncs and design reviews that boosted sprint predictability by 15%.
  • Key Technologies & Skills: Embedded C/C++, Objective-C, Multithreading, OOP, Embedded Linux, RTOS, C#, WCF, SQL, Microcontrollers, Linux, Windows Communication Foundation, Debugging Frameworks.
Embedded SoftwareMultithreading

Senior Software Engineer

Feb 2020Dec 2021 · 1 yr 10 mos

  • Delivered high-performance embedded and integration solutions for grid-automation products, collaborating across firmware, middleware, and backend teams:
  • Multithreaded Firmware & Drivers
  • Architected and implemented real-time, multithreaded firmware in Embedded C/C++ on Linux and RTOS platforms—improving task-latency determinism by 30%.
  • Optimized Linux kernel drivers for I/O boards, reducing interrupt-handling overhead by 25%.
  • Object-Oriented Design & Code Reuse
  • Designed modular, object-oriented frameworks in C++ and Objective-C for device abstraction layers—cutting code duplication by 40% and accelerating feature rollout.
  • Established coding standards and static-analysis checks (Cppcheck, Clang-Tidy) to enforce consistent design patterns.
  • Integration Services & Back-End Connectivity
  • Developed C# WCF microservices to bridge microcontroller telemetry with SQL Server back-ends, enabling real-time dashboards and reducing ETL bottlenecks by 35%.
  • Implemented RESTful APIs and data-validation pipelines for secure, scalable telemetry ingestion.
  • Debugging & Diagnostics Framework
  • Developed a unified logging/tracepoint system combining gdb scripting and embedded-Linux printk, slashing mean time to resolution for critical faults by 50%.
  • Mentorship & Knowledge Sharing
  • Mentored 3 junior engineers on multithreading, OOP best practices and embedded-Linux internals through weekly pairing sessions and brown-bag talks.
  • Co-organized “Embedded Deep Dive” workshops, training 15+ team members on RTOS scheduling and performance profiling.
  • Key Technologies: Embedded C/C++, Objective-C, Multithreading, OOP, Embedded Linux, RTOS, C#, WCF, SQL Server, Jenkins CI, Python scripting, Kernel driver development, Static analysis.
Embedded SoftwareMultithreading

Honeywell

2 roles

Embedded Engr I

Promoted

Apr 2016Feb 2020 · 3 yrs 10 mos

  • In this role I combined deep embedded-systems expertise with hands-on technical leadership—guiding a global team of 80+ engineers to deliver our 4D trajectory optimization module for Boeing and Airbus FMS products.
  • Technical Leadership at Scale
  • Led technical design and code standards for a cross-disciplinary cohort of 80+ software, controls and QA engineers—ensuring consistency across graph-based pathfinding and real-time subsystems.
  • 4D Trajectory Optimization & Graph Algorithms
  • Architected and implemented hybrid Dijkstra/A* algorithms in Embedded C/C++ on VxWorks—integrating real-time weather, airspace constraints and aircraft performance models.
  • Introduced heuristic pruning and incremental re-optimization, cutting computation latency by 30% and enabling sub-100 ms dynamic reroutes.
  • Performance Tuning & Resource Optimization
  • Optimized memory footprint and CPU utilization on safety-critical avionics hardware—achieving 25% lower cycle time under DO-178B/C constraints.
  • Cross-Functional Collaboration
  • Orchestrated design reviews and compliance checkpoints with avionics hardware, systems engineering and certification teams (FAA/EASA), ensuring deterministic outputs and ARINC 429 interoperability.
  • Mentorship & Process Improvement
  • Mentored five junior engineers through weekly brown-bag sessions on real-time scheduling and graph theory, accelerating their ramp-up by 50%.
  • Established a peer-review process and static analysis gates (Cppcheck, Clang-Tidy), reducing critical defects by 40%.
  • Systems Integration & Validation
  • Directed system-level M&S simulations and hardware-in-the-loop testing, delivering 99.9% output consistency across thousands of flight scenarios.
  • Impact & Recognition
  • Enabled airlines to achieve a 15% fuel savings—translating to millions in annual cost reductions and significant CO₂ emission cuts.
  • Awarded Honeywell’s “Excellence in Engineering” spot awards for rapid problem-solving during live flight tests.

Engineer

Mar 2011Feb 2020 · 8 yrs 11 mos

Embedded SoftwareMultithreading

Education

Centre for Development of Advanced Computing (C-DAC)

PG in System Software Development — DSSD

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology - BTech — Computer Science

Sunbeam School Bhagwanpur Varanasi

10th — Mathematics and Computer Science

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