Headline

Intern @ Zoko (YC21) | Agentic AI Engineer | Full-Stack, AI/ML & Financial Modeling | Python | Go | SQL | React | C#

About

Product engineer with experience in full-stack development, financial modeling, and AI/ML. I've spent the last year building automation systems, shipping product features, and engineering quantitative models. Recent work: → Built automation pipelines handling 10,000+ monthly prospects with 99% reliability → Coordinated cross-functional teams to ship 5+ product releases ahead of schedule → Engineered Monte Carlo pricing models with <1% error across 100K+ simulation paths → Deployed internal monitoring tools that cut debugging time by 42% for 1,500+ users → Built Windows security research tools bypassing AMSI/ETW via runtime memory patching I work at the intersection of product engineering and quantitative analysis—shipping features, automating systems, and solving hard problems. Tech: Python, C#, React, PostgreSQL, AWS, Monte Carlo simulation, options pricing, AI/ML. Seeking SDE/APM roles at product companies or quant/fintech firms. 📬 reachprajwal03@gmail.com | 🔗 github.com/prajxwal

Location

Bengaluru

AI stack

claude code

hugging face

langchain

mcp

n8n

hermesagent

Work experience

Intern at Zoko, Aug 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Marketing Automation Engineer Intern at Valuebound, Jun 2025 - Aug 2025 · 3 mos, Bangalore Urban, Karnataka, India, Designed and deployed end-to-end marketing automation workflows using n8n, processing 10,000+ prospects per month with 99% uptime eliminating 15+ hours of weekly manual work and increasing lead generation capacity by 3x. Built a LinkedIn scraping + personalized email pipeline that automated outreach to 500+ prospects daily, achieving 22% open rates and 8% reply rates (2x industry average), generating 40+ qualified sales leads per week. Engineered data validation and preprocessing pipelines with conditional branching for A/B testing across 5 campaign variants, improving conversion rates by 18% and reducing campaign setup time from 4 hours to 35 minutes (65% faster).

Founders Associate Intern at Bezt Labs, Aug 2024 - Mar 2025 · 8 mos, Bangalore Urban, Karnataka, India, Led cross-functional coordination between Product, Engineering, and Marketing teams to prioritize feature roadmaps and accelerate release cycles—shipped 5 major product updates 2-3 weeks ahead of schedule, directly impacting 1,500+ active users. Built and deployed an internal XHR monitoring tool to track API request patterns and identify bottlenecks, reducing mean time to resolution (MTTR) for production issues from 4 hours to 2.3 hours and preventing 12+ critical bugs from reaching production. Conducted quantitative analysis on user behavior data (session duration, feature adoption, drop-off points) to inform product prioritization—recommended 3 high-impact features that increased user engagement by 23% and reduced churn by 11% over a 2-month period.

Education

Bachelor of Technology - BTech, Computer Science and Design, Dayananda Sagar Academy Of Technology And Management, Bangalore

11th & 12th, Science, Base PU college

Public links

github: https://github.com/prajxwal

prajwaljayaram.vercel.app: https://prajwaljayaram.vercel.app/#home