Chandrashekhar Jha — Director of Engineering

Senior Software Engineering Manager | 16+ Years | 33 US Patents | AI/ML & Data Platforms at Scale I build and scale high-impact data + AI platforms that power products for tens of millions of users. At Intuit, I led a team building a document classification & extraction platform using Google DocAI/Gemini for 44M TurboTax customers. We deliver 99%+ extraction accuracy, 2s TP99 latency, and 99.99% availability. Currently, I’m building an end-to-end business intelligence data platform for 12M+ QuickBooks/Mid-Market customers while working with multiple teams in India, US, UK, and Israel. The billion-scale platform runs at 4s read latency, 10s ingestion latency, 99.999% availability, and 99.999% data quality. We’re now driving Agentic AI to cut domain onboarding from 45 days to 2 hours, and leading an initiative to achieve 3x developer productivity with 100% AI tool adoption across my VP's org. Before Intuit, I spent 7+ years at VMware where I built vRLI Cloud from scratch — a petabyte-scale log analytics & search SaaS on AWS serving 3000+ customers with 99.99% SLA and 90%+ unit test coverage. Led a large team of engineers, mentored 25+ new grads and 10+ interns, and cut customer service incidents 30% using AI/ML for hardware cost prediction. *Recognition & Impact:* - 33 US Patents across VMware & Intuit in AI/ML, vROPS, vRA, vCenter, Log Analytics - VMware Prolific Innovator Award for 10 unique utility US patent grants - Business Unit Level Excellence Awards: 2017, 2019, 2021, 2024, 2025 for system design, product innovation, and leadership - VMware Best Mentor Award 3x for guiding 15+ new college graduates - Consistently 90+ pulse score as manager, peaking at 92 - 0 OOSLA for 6 continuous months in Opex; raised team PR velocity from 1.4 to 4.8 using AI for coding, testing, and reviews Earlier at Adobe, I led migration of 2.5TB digital assets to Adobe Marketing Cloud DAM and worked with 20+ Fortune 500 customers on AEM customization. At Oracle, I optimized Oracle Fusion ERP resource management, reducing API calls by 45%.

Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI/ML and data platform engineering.

Location: Bengaluru, Karnataka, India

Experience: 15 yrs 10 mos

Skills

Ai/ml
Data Platforms
Engineering Leadership

Career Highlights

33 US Patents in AI/ML and Data Platforms
Led teams serving tens of millions of users
Achieved 99.999% availability in large-scale platforms

Work Experience

Intuit

Senior Engineering Manager (2 yrs 11 mos)

VMware

Staff Engineer (3 yrs 6 mos)

Senior Member Technical Staff (2 yrs 5 mos)

Member of Technical Staff III (1 yr 3 mos)

Adobe

Software Engineer (1 yr 10 mos)

Oracle

Application Developer (1 yr 10 mos)

Infosys

system engineer (2 yrs 1 mo)

Education

Postgraduate Program in Enterprise Management at Indian Institute of Management Bangalore

Advanced Management Program in Business Analytics at Indian School of Business

Bachelor of Technology (B.Tech.) at National Institute of Science and Technology (Autonomous, NBA and NAAC Accredited)

Global Network for Advanced Management(GNAM) at EGADE Business School del Tecnológico de Monterrey

Global Network for Advanced Management (GNAM) at Lagos Business School, Pan-Atlantic University

Chandrashekhar Jha

Director of Engineering

Bengaluru, Karnataka, India15 yrs 10 mos experience

AI EnabledHighly Stable

Key Highlights

33 US Patents in AI/ML and Data Platforms
Led teams serving tens of millions of users
Achieved 99.999% availability in large-scale platforms

Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI/ML and data platform engineering.

Contact

Skills

Core Skills

Ai/mlData PlatformsEngineering Leadership

Other Skills

Large Language Models (LLM)Agile & Waterfall MethodologiesGoogle DocAIGeminiData ClassificationData ExtractionData IngestionData QualityCollaborationOperational EfficiencyAI StrategyProductivity ToolsTeam ManagementDebuggingRDBMS

About

Experience

15 yrs 10 mos

Total Experience

3 yrs 2 mos

Average Tenure

2 yrs 11 mos

Current Experience

Intuit

Senior Engineering Manager

Jul 2023 – Present · 2 yrs 11 mos · Bengaluru · Hybrid

Leading high-impact engineering platforms that serve tens of millions of customers across TurboTax and QuickBooks.
🔹 AI-Powered Tax Document Intelligence — Led a 25-member team building a data classification and extraction platform using Google DocAI and Gemini, enabling 44M+ TurboTax customers to file returns with 99%+ extraction accuracy, 2s TP99 latency, and 99.99% availability.
🔹 Billion-Scale Business Intelligence Platform — Building an end-to-end BI platform for 12M+ QuickBooks and Mid-Market customers in collaboration with 20+ domain teams. Scaled the engineering team to deliver a billion-scale data ingestion platform with 4s read latency, 10s ingestion latency, and 99.999% availability and data quality SLAs.
🔹 Agentic AI for Operational Efficiency — Designed and executing an Agentic AI strategy where we build multiple agentic systems that reduces domain onboarding time from 45 days to 2 hours.
🔹 Developer Productivity at Scale — Driving a VP org-wide Agentic AI initiative across 200+ engineers to achieve 3x developer velocity and 100% tooling adoption.
🔹 Patents : Have filed 6 patents at Intuit, out of which 2 are already granted. These filings taking my overall patent count to 33 now.

Large Language Models (LLM)Agile & Waterfall MethodologiesAI/MLData Platforms

Vmware

3 roles

Staff Engineer

Jan 2020 – Jul 2023 · 3 yrs 6 mos

DebuggingRDBMS

Senior Member Technical Staff

Promoted

Jul 2017 – Dec 2019 · 2 yrs 5 mos

Engaged in ideation to delivery of on premise and SaaS products following AGILE development process. I have filed 30+ US patents in the field of machine learning, resource optimization and user experience improvement for various products of VMware. Two of my papers have got selected in the Grace Hopper Celebration conference in 2017 and 2018 consecutively for 30 minute presentations. I have also participated in all the five Borathons (VMware’s hackathon) conducted since I joined VMware, and have won the Best Presentation Award and the Judges’ Choice Runners-Up Award and was among the top 6 finalists thrice. I have also received a SPOT award for solving critical customer issues within a year of my joining VMware. I am a certified SCRUM master and have also contributed to open source via. Open Source Borathon conducted by the office of the CTO, VMware Inc.

Member of Technical Staff III

Apr 2016 – Jul 2017 · 1 yr 3 mos

Adobe

Software Engineer

Jun 2014 – Apr 2016 · 1 yr 10 mos · Bangalore

Oracle

Application Developer

Aug 2012 – Jun 2014 · 1 yr 10 mos · Hyderabad Area, India

Working as Application Developer at Oracle. My job consists of Analysis of Functional Design Document, Design, Coding and Unit Testing using Core Java, Data Structures, Algorithms, Problem Solving, ADF and J2EE.

Infosys

system engineer

Jul 2010 – Aug 2012 · 2 yrs 1 mo

I worked on an E-Commerce enterprise application which uses technologies like Core Java, Struts, EJB, JPA and JSF along with Data Structures, Problem Solving, Algorithms etc.