parekha
Founder of ArgyleEnigma Tech Labs
About
I'm parekha, Founder of ArgyleEnigma Tech Labs, where I build AI-powered fintech solutions focused on financial inclusion. My journey started in software development at major financial institutions like Morgan Stanley and PIMCO, where I worked on predictive risk models and trading infrastructure, before founding my own venture. I'm passionate about using deep-tech to democratize financial understanding through platforms like FinDocGPT for decoding complex documents and Fili for gamified financial literacy. I believe in learning through building and that effort must precede reward for true success. I'm actively seeking collaboration with investors, BFSI partners, and fellow founders to scale impact, while offering mentorship and insights from my entrepreneurial journey in India's vibrant tech ecosystem.
Networking
What I can offer
- ›Insights as a fintech entrepreneur and AI builder
- ›Startup mentoring and sharing lessons from entrepreneurial journey
- ›Building solutions for financial inclusion through platforms like FinDocGPT and Fili
Looking for
- ›Collaboration opportunities with investors, BFSI partners, fellow founders, and government bodies
- ›Mentorship and guidance on GTM strategies
- ›Ecosystem support for scaling
Best fit for
Current Interests
Background
Career
Started as Java Developer Intern at AECOM, progressed through software developer roles at AECOM, PIMCO, Morgan Stanley, and Luma Financial Technologies, then became Founder of ArgyleEnigma Tech Labs while also serving as Business Student (Trainee) at The Home of FinTech | Rise and Startup Mentor (Part-time) at Startup India
Education
Master of Science (MS) in Computer Science, California State University; Bachelor's degree in Computer Engineering, LDRP Institute of Technology & Research, Gujarat Technological University
Achievements
- ›FinDocGPT received grant from ElevenLabs, selected for nasscom GenAI Foundry Cohort 3 and Google for Startups Startup Innovate Program, presented at RBIH 'Building for Billions' event
- ›Fili gamified financial literacy platform crossed 10,000 users globally, achieved 75% global engagement rate and 11-minute average user session duration
- ›ArgyleEnigma Tech Labs won 1st Prize at WISE Tech India Pitchathon 2026, selected for Google for Startups AI Academy India 2024 (top 10% of startups), participated in Startup Mahakumbh 2025 with 100+ on-the-spot sign-ups
- ›At Luma Financial Technologies: improved system scalability, reduced deployment time by 35%, reduced API latency by ~40%, increased deployment frequency by 3x, improved system reliability to 99.9% uptime, reduced production issues by ~30%
- ›At Morgan Stanley: developed ML models that improved credit loss prediction accuracy by ~20%
Opinions
- Complex financial documents are a major barrier and AI can democratize financial understanding and confidence
- Real learning for founders comes from building, failing, iterating, and ecosystem support, not formal education
- Rewards experienced without prior effort are not truly rewards; effort preceding reward is essential for sustained motivation and success
- Dark or unused enterprise data represents a major risk and missed opportunity; meaningful AI requires models trained on specific enterprise data and rules