# Kevin Mammadli

> Founding Engineer @ Yolgen | Purdue CS | Top 0.7 percentile IMC Trading Competitor 2024 & 2025 | Full-Stack Dev | AI & Trading Systems | ex-Krave, PhonicHouse

Location: San Francisco, California, United States
Profile: https://flows.cv/kevinmammadli

Hey, my name is Kevin, and I'm a Graduate from Purdue University, where I majored in Computer Science and minored in Mathematics. My passion lies in ML/AI and Software Development and their applications in the current era's technology.

As an avid follower of technological advancements, I'm always on the lookout for new tech innovations, and I'm excited about the possibility of contributing to the next big breakthrough. I believe that my strong academic background, coupled with my enthusiasm for software development, make me a great fit for any team looking to push the boundaries of what's possible with technology.

## Work Experience
### Founding Engineer @ Yolgen
Jan 2025 – Present | San Francisco Bay Area

### Software Engineer @ Yolgen
Jan 2024 – Present | Chicago, Illinois, United States
• Developed a multi-service hiring simulation platform using NestJS and Prisma, enabling seamless admin-candidate workflows
• Boosted relevance of AI-generated simulation outputs by ∼58% through schema-validated JSON prompts, safe parsing, guardrail design, and fine-tuning on OpenAI models, while deploying multiple AI-powered chatbots
• Improved scalability and reliability of LLM agents by implementing token budgeting, batching, and observability tools, reducing failure cases by 30% and supporting higher user loads
• Collaborated with cross-functional teams to define product requirements and deliver key features

### Research Assistant- Fault-Tolerant LLM Inference Optimization @ Purdue University
Jan 2025 – Jan 2026
• Designed a fault-tolerant inference framework using TensorRT-LLM’s PyTorch backend, implementing KV cache redundancy across parallel GPU pipelines to ensure high-throughput LLM generation under hardware failures

### Algorithmic Trading Competitor @ IMC Trading
Jan 2025 – Jan 2025
• Ranked in the top 0.7 percentile globally out of 12620+ teams, developing HFT algorithms within a simulated market environment
• Enhanced forecasting accuracy by applying predictive models like Black-Scholes, Ornstein-Uhlenbeck, and ARIMA
• Consistently generated alpha and optimized PNL using market making, gamma scalping, and ETF arbitrage
• Implemented stop-loss thresholds for risk management, mitigating losses by 22% during high-volatility trading rounds

### Software Engineer Intern @ Krave Capital
Jan 2023 – Jan 2023 | Stamford, Connecticut, United States
• Developed a Python app for compliance checks on daily trade data within the Research Infrastructure Group
• Collaborated with the algorithmic trading team, using NumPy, XGBoost, and ARIMA to enhance forecasting accuracy
• Optimized data processing efficiency by 15.2% through the implementation of multi-threading and parallel processing

### Software Engineer Intern @ Phonichouse
Jan 2022 – Jan 2022 | Chicago, Illinois, United States
• Built a full-stack trading platform for musical investments, collaborating with stakeholders to enhance features and UI
• Delivered market data reports to senior leadership, driving a 21% market reach expansion with actionable insights
• Developed efficient APIs using Django and GraphQL, optimizing data querying and front-end/back-end communication

### Cybersecurity Challenge Team Leader @ Sandia National Laboratories
Jan 2022 – Jan 2022 | West Lafayette, Indiana, United States
• Led a skilled team of two in the Purdue TrackFire Cyber Security Capture The Flag (CTF) competition, achieving a top 20% ranking among participating teams through strategic planning and effective problem-solving
• Mentored by Sandia National Laboratory professionals, gaining unique insights and guidance on complex cybersecurity challenges
• Employed a variety of advanced cybersecurity tools, including Security Onion, Arkime (formerly Moloch), Velociraptor, Ghidra, etc., to successfully complete 150 diverse CTF challenges, increasing the challenge completion rate by 60% compared to other teams

### Data Science Intern @ Azerbaijan Airlines
Jan 2021 – Jan 2021 | Baku, Azerbaijan
• Enhanced data accuracy by 40% by standardizing data collection and analysis processes using Python, openpyxl, and SQL for supply chain management
• Automated reporting pipelines using Airflow, Tableau, and Power BI, leading to 25% increase in reporting efficiency and 10% reduction in operational overhead


## Education
### Bachelor of Science - BS in Computer Science
Purdue University


## Contact & Social
- LinkedIn: https://linkedin.com/in/karimmammadli

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Source: https://flows.cv/kevinmammadli
JSON Resume: https://flows.cv/kevinmammadli/resume.json
Last updated: 2026-04-05