Haris Rehman

Academic

Career

Verbatim text

Haris Rehman
Cell: 923249626601 |  Email: harisrehmanchugtai@gmail.com
LinkedIn: https://www.linkedin.com/in/haris-rehman-99865a166/
Address: 257/C BLOCK, SATELLITE TOWN , Gujranwala , Pakistan
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