Hi, I'm Shyama Dorbala - Co-Founder at Ikeloa
I am a builder at heart, driven by the challenge of transforming complex machine learning research into impactful, scalable products. I thrive in environments where technical precision meets high-speed iteration.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Successfully architected advanced ad conversion models and high-performance training pipelines at Liftoff Mobile.
Currently driving innovation as a Co-Founder focused on transformative machine learning solutions.
Offers deep technical expertise in model deployment, infrastructure optimization, and engineering team mentorship.
🚀 Career trajectory
Hardware Foundations
Built core engineering expertise through low-level systems work at NVIDIA and Oracle.
✦ Hardware Systems
✦ Low-Level Engineering
ML Specialization
Transitioned into ad-tech to develop sophisticated machine learning conversion frameworks.
✦ Deep Learning
✦ Applied ML
Entrepreneurial Pivot
Leveraging deep technical experience as a founder to build the next generation of solutions.
✦ Founder
✦ Strategic Growth
💪🏻 Superpowers
Machine Learning Architect
Bridging research with production performance
Transformed ad conversion models into high-scale deep learning pipelines.
Optimized infrastructure using Spark, PyTorch, and Triton frameworks.
Delivered end-to-end training cycles for massive data environments.
Startup Founder
Building technical foundations for new ventures
Leading strategic vision and product development at Ikeloa.
Navigating the transition from specialist to venture architect.
Focusing on scalable solutions to complex real-world problems.
Engineering Mentor
Fostering technical growth and collaboration
Mentored team members to enhance individual and collective output.
Promoted collaborative engineering practices for faster deployment.
Cultivated an environment of precision and technical inquiry.
I'm excited about
Exploring new collaborative opportunities with fellow technical founders on the platform.
Seeking insight into scaling AI-driven products within emerging startup ecosystems.
Connecting with peers to discuss the future of machine learning and venture building.
I can help with
Providing technical audits for machine learning pipelines and model deployment strategies.
Sharing expertise on optimizing infrastructure for high-performance production systems.
Advising early-stage founders on balancing technical precision with rapid prototyping.
I would love your help on
Identifying effective strategies for navigating the transition from engineering lead to co-founder.
Finding co-innovation partners to explore transformative, complex problem-solving architectures.
Gaining feedback on emerging business models for deep-tech venture ideas.