Ajinkya Nimbalkar

Director of Engineering

Bengaluru, Karnataka, India9 yrs 10 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Led multi-team portfolios at Google.
  • Architected scalable AI solutions impacting millions.
  • Transformed complex AI innovations into market-leading products.
Stackforce AI infers this person is a SaaS-focused Engineering Leader with expertise in Generative AI and cloud infrastructure.

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Skills

Core Skills

Generative AiTeam Leadership

Other Skills

Large Language Models (LLM)Retrieval-Augmented Generation (RAG)Machine LearningComputer VisionComputer ArchitectureJavaPythonC++CMatlabArtificial IntelligenceInternet of ThingsCloud ComputingJ2EE Web ServicesJavaServer Pages (JSP)

About

Engineering Leader with a history of building and scaling high-performing organizations to deliver frontier Generative AI and Agentic platforms natively integrated within Global Cloud Infrastructure. Proven track record of leading multi-team portfolios at Google, driving architectural pivots from legacy ML to scalable AI solutions that impact hundreds of enterprise customers and millions of users. Demonstrated expertise in architecting scalable systems, resolving complex technical challenges leveraging deep understanding of cloud computing and AI/ML principles, and driving strategic initiatives from inception to impactful customer adoption. Expert in navigating ambiguity to define long-term technical roadmaps, fostering executive-level partnerships, and transforming complex AI innovations into market-leading products like Gemini Code Assist and GCP Data Analytics.

Experience

9 yrs 10 mos
Total Experience
3 yrs 3 mos
Average Tenure
7 yrs 6 mos
Current Experience

Google

5 roles

Engineering Manager (Gemini Enterprise)

Promoted

Nov 2025Present · 7 mos

  • Leading the engineering strategy and execution across multiple teams developing
  • Gemini AI agents, driving innovation in key areas such as Anti-Money Laundering
  • (AML) and enhancing Marketing effectiveness.
  • Steering strategic, customer-centric partnerships with key enterprise clients, solutions
  • teams, and product management.
  • Translating complex real-world challenges into high-impact features, ensuring strong
  • product-market fit and driving adoption of these AI solutions.

Engineering Manager (Gemini Code Assist)

Mar 2025Oct 2025 · 7 mos

  • Led the engineering strategy and execution for Gemini Code Assist for a team of 20+ Engineers, focusing on
  • scalable AI solutions.
  • Led a RAG based enterprise solution to enable context-aware code suggestions
  • from private repositories, significantly enhancing developer experience.
  • Built a comprehensive AI metrics framework, providing real-time
  • data-driven insights to optimize performance and reliability.
Large Language Models (LLM)Retrieval-Augmented Generation (RAG)Generative AITeam Leadership

Engineering Manager (Gemini in Looker and BigQuery)

Feb 2023Mar 2025 · 2 yrs 1 mo

  • Built and scaled a high-performing engineering team in India from inception, driving hiring, talent development, and retention.
  • Led the launch of multiple Generative AI initiatives within GCP Data Analytics, overseeing LLM-powered Agentic features powering conversational analytics across Looker and BigQuery, resulting in strong customer adoption and revenue growth.
  • Improved customer satisfaction by enhancing model quality and API performance through advanced statistical data modelling, fine-tuning and inference optimization, while defining product strategy and aligning cross-functional teams with executive stakeholders.
Large Language Models (LLM)Retrieval-Augmented Generation (RAG)Generative AITeam Leadership

Technical Lead (Looker)

Promoted

Feb 2021Feb 2023 · 2 yrs

  • Provided technical leadership for a team of 25+ Engineers while successfully launching
  • key customer-facing features impacting 200+ enterprise customers on Google Data Analytics products like Looker, Data Studio and BigQuery
  • Led the design and development of the core GenAI Data Summarization API. Launched at Google Cloud Next 2023.
  • Solved ambiguity with model quality evaluation, adapted advanced statistical
  • preprocessing implementation based on experiments with LLM capabilities leading to
  • 34% more accurate model responses and 10x improvement in API latency.
Large Language Models (LLM)Generative AITeam Leadership

Software Engineer (Cloud Media and Google Search)

Nov 2018Feb 2021 · 2 yrs 3 mos

  • Led the Autos vertical on Google Search, building large features (~1B DAU) that contributed to 5.7% overall query growth and 1.5% growth in Ads revenue.
  • Built Kubernetes based multi-cloud infrastructure (GCP, AWS, and Azure) to facilitate seamless video streaming microservices at a global scale.

Oracle

Software Engineer (SCM Cloud)

Oct 2017Nov 2018 · 1 yr 1 mo · Redwood City, California

  • Led cross-functional teams in designing and delivering core inventory management services for SCM cloud platform, balancing business requirements with scalable system architecture.
  • Drove performance optimization initiatives across SQL and PL/SQL layers, achieving a 25% improvement and significantly enhancing customer experience.

Curantis

Practicum Intern

Jun 2017Aug 2017 · 2 mos · Pittsburgh, Pennsylvania, United States

  • ‣ Developed an AI-enabled Eldercare Concierge platform aimed at reducing caregiver burden through intelligent coordination and automation.
  • ‣ Architected a modular system enabling machine learning–based workflow optimization, care-task prioritization, and service recommendation across healthcare, vendor management, and housing services.

Tsuneishi group

Intern

May 2015Jul 2015 · 2 mos · Hiroshima, Japan

  • Retrofit fuel meter sensor leveraging computer vision (OCR tech) and customised wireless network.

Carnegie mellon university

Researcher

Nov 2014Feb 2016 · 1 yr 3 mos · Pittsburgh, Pennsylvania, United States

  • Developed and evaluated a machine learning–driven computer vision pipeline for OCR-based digit recognition on legacy sensors in unconstrained environments (lighting variation, reflections, and viewpoint distortion), enabling reliable real-time data acquisition.

Education

Carnegie Mellon University

Master’s Degree — Mechanical Engineering

Carnegie Mellon University

Master’s Degree — Information Technology

Maharashtra Institute of Technology

Bachelor’s Degree — Mechanical Engineering

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