Ali Zeeshan

Head of AI and Emerging Technologies

Adept Tech Solutions • Período integral

Aug 2024 - Present • 1 yr 11 mos

Strategic AI Leadership: Define and execute the AI vision, roadmap, and priorities to deliver measurable business growth through intelligent automation and innovation. Advanced Solution Design: Lead development of scalable AI systems, including multi-agent orchestration, MCP (Model Context Protocol) integrations, RAG pipelines, and fine-tuned domain-specific models. Performance & Optimization: Oversee inference optimization, model quantization, compression, and accelerated compute strategies for cost-effective, high-performance AI services. Deployment Strategies: Implement multi-environment deployment pipelines (cloud-native, hybrid, edge AI, on-device inference) with CI/CD, containerization, and automated scaling. Governance & Ethics: Enforce responsible AI frameworks with transparency, explainability, bias mitigation, and compliance to industry standards. Enterprise Integration: Architect production-ready AI platforms using microservices, vector databases, and API-first architectures for seamless interoperability. Automation for Growth: Design and deploy AI-driven business process automation to boost efficiency, reduce costs, and create new revenue channels. Cross-Functional Enablement: Integrate AI across teams, accelerate adoption, and align initiatives with sales, marketing, product, and customer success. Team & Stakeholder Leadership: Build, mentor, and guide AI teams, while communicating technical strategies in business terms for executives and partners.

Sr. Algorithm Engineer

Six Atomic Pvt. Ltd. • Período integral

Aug 2023 - Sep 2024 • 1 yr 1 mo

Design, develop, and optimize algorithms for computer vision and generative AI applications, including image/video understanding, 3D reconstruction, object detection, and multimodal synthesis. Build and fine-tune deep learning models (CNNs, transformers, diffusion models) for real-time, high-accuracy performance. Implement model optimization, quantization, and acceleration for deployment on cloud, edge, and embedded platforms. Collaborate with cross-functional teams to integrate AI solutions into products, ensuring scalability, robustness, and low latency. Research and prototype novel architectures, training techniques, and data augmentation methods. Maintain best practices in MLOps, versioning, and CI/CD for AI pipelines. Stay current with academic and industry advancements, applying state-of-the-art methods to solve complex problems. Mentor junior engineers and contribute to a culture of innovation.