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Haris Rehman

NUST · 2026 · 410937
Email
hrehman.bese22seecs@seecs.edu.pk
Phone
923249626601
LinkedIn
https://www.linkedin.com/in/haris-rehman-99865a166
GitHub

Academic

Program
CGPA
3.16
Year
2026
Education
BESE 13-A SEECS , Gujranwala , 3.22/4 (2026)
Address
257/C BLOCK, SATELLITE TOWN , Gujranwala , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE I am an AI/ML Engineer and Technical Product Manager with a B.Sc. in Software Engineering from NUST. I specialize in bridging the gap between technical engineering and product strategy by translating user insights into scalable AI solutions deployed across cloud and on-prem environments. My hands-on experience includes developing high-precision Computer Vision systems and Deep Learning models, such as an automated fiber alignment system with 5-micrometer precision and real-time action recognition for smart retail. Beyond model development, I am an expert in MLOps, utilizing Docker Swarm, Kubernetes, and CI/CD pipelines to optimize inference speeds and orchestrate distributed GPU training. Currently, I am driving data-informed product decisions as an Associate Product Manager at VyroAI while maintaining a strong technical portfolio in Generative AI and multimodal research. Here's my portfolio website: https://harisrehman.tech EDUCATION BESE 13-A SEECS , Gujranwala , 3.22/4 (2026) INTERNSHIP EXPERIENCE Vyro AI 20-Oct-2025 - 13-Jan-2026 VyroAI – Chatly | Associate Product Manager | October 2025 – Present I drive data-informed product decisions by implementing event tracking through GTM and Mixpanel, while automating user feedback reporting. I collaborate cross-functionally with Engineering, SEO, and QA teams to identify user pain points and prioritize features that improve retention. I lead growth initiatives by creating SEO-optimized Help Center content and branded product assets to enhance visibility. I support platform monetization and reliability by troubleshooting Stripe billing integrations and assisting with QA automation. Cowlar YC W-17 29-Apr-2024 - 30-Mar-2025 Cowlar Design Studio (YC W-17) | Machine Learning Engineer | April 2024 – April 2025 I automated factory processes for an Amazon-partnered supplier, boosting production capacity by 40x (from 240 to 9,600 cables monthly). I developed a vision-based system to align fibers with 5-micrometer precision and integrated ML/CV into a Fiber Organizer Robot achieving 96% accuracy. I pushed AI solutions to production by establishing CI/CD pipelines with Docker and load balancing deployment servers using Nginx. I optimized model inference speeds from 200ms to less than 100ms per request through nvidia-enabled dockerization and dimensionality reduction. I built real-time action recognition for Smart Carts (95% accuracy) and implemented Azure OpenAI chatbots to enhance retail customer experiences. I architected distributed GPU compute environments using Docker Swarm, enabling model training that is 3–4 times faster. FINAL YEAR PROJECT FleadrAI Developing an AI-driven lead generation and engagement system that automates over 70% of the lead lifecycle by integrating large language models with a dynamic “Lead Memory Vault” for personalized outreach. Building a web crawler using headless browsers to scrape and populate a multi-zone, read-replicated database with high-quality leads. Designing the user interface in React and configured an MCP server to integrate with third-party services, utilizing DSPy for prompt optimization and ACP for agent-to-agent communication between help and actionable call modules. To implement scalable CI/CD pipelines, containerization, version control,

AI enrichment

I am an AI/ML Engineer and Technical Product Manager with a B.Sc. in Software Engineering from NUST. I specialize in bridging the gap between technical engineering and product strategy by translating user insights into scalable AI solutions deployed across cloud and on-prem environments. My hands-on experience includes developing high-precision Computer Vision systems and Deep Learning models, such as an automated fiber alignment system with 5-micrometer precision and real-time action recognition for smart retail. Beyond model development, I am an expert in MLOps, utilizing Docker Swarm, Kubernetes, and CI/CD pipelines to optimize inference speeds and orchestrate distributed GPU training. Currently, I am driving data-informed product decisions as an Associate Product Manager at VyroAI while maintaining a strong technical portfolio in Generative AI and multimodal research. Here's my portfolio website: https://harisrehman.tech
Status: ai_done
Provenance
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Created: 1777448793