Founder @ Phyros | Driving Revenue for B2B Software/IT Companies With ROI-Focused GTM, Product & Value-Driven Outbound Strategies Without Overspending.

Your GTM is scattered across teams, tools, and data. Marketing generates leads sales never sees. SDRs waste time on manual tasks. Success stays blind to sales promises.

And the worst part? You're burning cash trying to fix it with more tools and headcount.

We help tech startups build modern AI-powered GTM engines that actually work. No complexity. No bloated headcount. Just predictable revenue growth.

We've worked with 10+ startups from pre-seed to IPO-stage, backed by top VCs like YC, Battery Ventures, a16z and more.

Happy to chat about GTM, outbound and AI - shoot me a message here!

Siddharth MV

Toyota Connected India

-Engineered and maintained full-stack modules for Toyota's Safety-Connected (Java) and Fleet-Linked (Golang) B2B mobility platforms, delivering over 10 production-grade features that elevated enterprise client satisfaction and streamlined operational efficiency.

-Implemented RESTful APIs and scalable microservices using Spring Boot and Gin to ensure performance and scalability of microservices and built dynamic frontend components with React & Redux-Saga for efficient state management & seamless user experiences.

-Optimized Fleet-Linked APIs, validated to deliver 96% success rate with median latency of 119 ms, enabling fast and reliable performance under load.

-Strengthened backend resilience through peer code reviews and agile practices, while automating CI/CD pipelines with Jenkins and Docker and leveraging Amazon Web Services for streamlined deployment and monitoring.

-Competed in system-design competitions, AI hackathons, and LLM-focused tech talks, achieving recognition and contributing innovative project ideas to GenAI innovation portals.

Software Development Engineer 1

National Institute of Ocean Technology

-Tasked with determining relative turbidity levels based on actual underwater images.

-Images part of a dataset taken in a turbid setting were enhanced and later compared against a base truth to estimate severity of turbidity using SSIM. This approach was later tested on actual underwater images.

-Implemented thresholding to restore degraded colors, Contrast Limited Adaptive Histogram Equalization (CLAHE) to account for depth variations, and whitebalancing to remove unrealistic colours.
Built a PyQt-based GUI to relay enhanced live footage with turbidity readings and incorporated edge detection for ROI-based analysis, leading to more accurate turbidity estimates.

-Practically tested with the help of a turbidity sensor and a lux meter to measure ambient conditions. This work was consolidated into a paper and published in IEEE INCOFT 2022

Reserach Intern

I’m a software engineer with over two years of professional experience specializing in full-stack development, cloud technologies and AI-driven automation.

Currently pursuing a Master’s in Computer Science at New York University, I have a strong foundation in programming languages such as Go, Python, Java, and JavaScript, and project expertise in frameworks like Spring Boot, Gin, React.js.

At Toyota, I engineered scalable B2B SaaS platforms, delivering production-grade features that enhanced operational efficiency and customer satisfaction. I have led AI hackathon projects and contributed to cutting-edge applications involving machine learning and computer vision. With experience in DevOps tools including Docker, Kubernetes, and AWS, I thrive in collaborative environments where I can build impactful software that bridges innovation and real-world utility.

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Siddharth MV

Vidyarth Venkateswaran

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