Anupam Verma

Director of Engineering

Noida, Uttar Pradesh, India19 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

16+ years of product building experience.
Expert in machine learning and data analytics.
Proven track record in user acquisition and product marketing.

Stackforce AI infers this person is a SaaS product leader with expertise in machine learning and user experience.

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Skills

Core Skills

Product ManagementMachine LearningSoftware DevelopmentWeb Development

Other Skills

AJAXAgile MethodologiesAlgorithmsArtificial Intelligence (AI)Business AnalysisBusiness AnalyticsBusiness PlanningCC (Programming Language)C++CommunicationContent Management Systems (CMS)Critical ThinkingCustomer Relationship Management (CRM)Customer Service Systems

About

Senior product leader with a fine balance of customer obsession, business and engineering. I have successfully delivered B2B & B2C products while working as a Product Manager, Coder, Tester, UI/UX Designer, Mentor and a Freelancer in the last 16+ years. Highlights: • 16+ Years of Product Building Experience (B2B & B2C) in Internet, Desktop & Mobile domain • Product Strategy, Vision, Road map, Design and Specification • User acquisitions through digital and face to face promotions • User personas, customer experience work flows, wire frames, mock ups, PoCs and A/B testing • Market research through competitive analysis, direct customer engagement and new trends analysis • Product marketing through user conferences, webinars & demos • Program management across Cross-Functional Teams • Metrics definition and tracking to measure product success • Data driven feature prioritization and release planning for better time-to-market • Digital Marketing and campaigning for promotion • Experienced in machine learning, chatbot, data analysis, data structures & algorithms, Restful API, Python, C, C++, Qt, Perl, AJAX, PHP, JavaScript, HTML, MySQL, Search Engines like Lucene, Google Search Appliance, Coveo

Experience

19 yrs 6 mos

Total Experience

3 yrs 3 mos

Average Tenure

12 yrs 4 mos

Current Experience

Cadence design systems

3 roles

Director

Promoted

Jul 2023 – Present · 2 yrs 11 mos · On-site

Sr. Principal Product Manager - Web, Search, UI/UX/CX, Machine Learning, Data Analytics

Promoted

Jan 2014 – Jun 2023 · 9 yrs 5 mos · On-site

Highlights:
Built and shipped a Google Chrome Extension to quickly search in our portal directly from Google Chrome and Microsoft Edge. (4% conversion rate through cold e-mails)
Shipped Cadence Support Mobile App (First of its kind in EDA industry world wide)
Shipped Learning Management System integration into Support site to make seamless (learning + support) experience for users.
Shipped a new avatar of the portal with new UI, Search Engine and analytics platform.
Earned unanimous praise from customers and great improvements on all KPIs (Received Spotlight Award)
Built Machine Learning model to mitigate service requests, won best paper award in TECCI
(Cadence Internal Technical Conference). Reduced service requests saving multi-million dollars yearly.
Built ML models to predict the customer needs, content improvements & suggestions.
Built a ML infrastructure platform to allow people to create model easily on our complex data types.
Added 20+ features through 15+ releases collaborating with many Cross-Functional Teams (8+) distributed across the world.
Acquired users - 20% growth
Increased user adaption via marketing the portal through Cadence User Conferences (CDNLive), webinars, demos, email campaigns and competitions.
Role:
Leading Search, AI/ML, Web Analytics, UI/UX/CX for Cadence Learning and Support System along with Cadence Support mobile app.
Product:
Cloud based Cadence Learning and Support System (Salesforce CRM) is one stop shop for all Cadence customers' learning, troubleshooting and support needs. It allows users to search complex EDA documents written by in-house experts, crowd sourced forum & blogs, interact with application engineers via service requests, provide feedback, enroll into courses and watch training videos.

Machine LearningData AnalyticsUI/UX DesignWeb DevelopmentProduct ManagementDigital Marketing

Senior Member Of Technical Staff, Member of Technical Staff

Jul 2008 – Mar 2012 · 3 yrs 8 mos · Noida Area, India

Worked as a developer for ‘Cadence Help’; a light weight web browser built using C/C++ & Qt; used by all Cadence products to show case & allow searching manuals, solutions, videos etc.
Developed many GUI (bookmark, history, find in page etc.) features & Search (Clucene) Module.
Implemented Java Native Interface (JNI) to make Cadence Help to be used by Java based application.
Optimized a 'Tree' based data structure for memory usage & performance. Reduced the time of operations by more than 10 times. (Received 'Department Level Award' for this).
Solved a bottleneck in Cadence Help by optimizing a synchronizing algorithm from order O(N^2) to O(N). It improved the time from ~15 seconds to ~1 sec. It also improved the loading time of application from ~30 seconds to ~1 sec. (Received 'Department Level Award' for this).
Paper on 'Use of Help Usage Statistics to Improve Product Feature Prioritization'

CC++QtJava Native InterfaceSoftware Development

Mentor graphics

Lead Member of Technical Staff

Mar 2012 – Oct 2012 · 7 mos · Noida Area, India

As part of power aware team, designed and developed GUI for power state visualization in ModelSim (a simulation product) using Tcl/Tk.

Tcl/TkGUI DevelopmentSoftware Development

Microsoft

Software Developer

May 2006 – Jun 2008 · 2 yrs 1 mo · Hyderabad Area, India

As part of Windows Core team, owned Enhance Security Configuration (security options) & Thread Model Analysis of Internet Explorer 7.
As part of Window Live team, owned MS Office Ribbon integration with WordPad resulting in very positive response from users.

Security AnalysisThread Model AnalysisSoftware Development

Motorola

Software Engineer

Nov 2005 – May 2006 · 6 mos · Bengaluru Area, India

• Development of Tool OATS – As part of HD set top box team, developed a tool using C; this tool generates lower number of test cases out of huge set of test cases based on different parameters of APIs of Set Top Boxes.

CSoftware Development