Achievements & case studies

Built, shipped, and taught

Founded by a computer scientist. Designed for humans.

Academic Foundation

HelpMeAI is founded by a Computer Science doctorate — bringing a level of technical rigour to product development that goes well beyond surface-level AI implementation. The academic background informs every architectural decision: not just what AI can do, but how it should be built to be reliable, fair, and maintainable.

Years in the AI-IT domain: 9+
Students & founders mentored: 50+
Doctorate, Computer Science: PhD
Startups founded & exited (details on request): Multiple

Case studies

From startup exits to everyday automation

Sector: Technology · Stage: Seed to Acquisition

Startup — Founded, Built & Exited

Prior to HelpMeAI, our founder has a track record of building technology ventures from scratch and guiding them to successful exits — demonstrating not just the ability to code, but the full-cycle skill of building a business around technology.

Details withheld per NDA — available on request for serious advisory engagements.

Key learnings brought to HelpMeAI

Knowing when to build vs. when to buy or integrate
Building MVPs that are lean but genuinely viable
Hiring and mentoring technical talent under resource constraints
Navigating investor conversations with technical credibility

Mentoring · Several years of active practice

Student Mentorship Impact

Over the course of several years of active mentoring, our founder has guided students and early professionals through:

Areas of guidance

Research paper publications in AI/ML domains
Internship and placement preparation at top tech companies
Startup idea validation and early product development
Transition from academic AI to industry-applied AI

“He didn’t teach me what was in the textbook — he taught me how to think about real problems. That’s something my entire degree didn’t do.”

— Former mentee, now placed at a Tier-1 tech firm

Sector: Professional Services Firm · Location: India

AI Consulting Engagement

A mid-sized consulting firm wanted to automate parts of their report generation and client communication workflow but had no internal technical capability and a limited budget.

Result

Approximately 40% reduction in time spent on repetitive documentation tasks, freeing the team to focus on higher-value client work. Total engagement completed within budget and timeline.

What we did

Audited existing workflows to identify automation opportunities
Recommended a phased, cost-effective AI integration plan
Built a lightweight internal tool using LLM-based automation
Trained the team to use and maintain the tool independently

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