Shridhar P

Dynamic technology leader with over 13+ years of experience in driving AI-driven solution strategies, system architecture, and large-scale engineering delivery. Currently leading the Technology Solutions Group, responsible for end-to-end client problem-solving and execution of AI and SaaS platform architecture. Expertise in translating complex business challenges into scalable AI-powered enterprise platforms while defining long-term technology visions and managing a 37-member cross-functional team across Engineering, AI/ML, DevOps, QA, and UI/UX. Recognized for a proactive approach to project management and a strong commitment to aligning technical solutions with business objectives, consistently delivering innovative results that contribute to organizational growth and success.

• Built and led a 37+ member cross-functional technology organization, reporting directly to the CEO, spanning Engineering, AI/ML, DevOps, QA, and UI/UX.
• Served as the primary technology advisor to the CEO, influencing platform strategy, AI adoption roadmap, and long-term technology investments.
• Architected and scaled multiple AI-powered SaaS and enterprise platforms, taking them from concept to production with ownership over architecture, execution, and outcomes.
• Established AI-first solutioning across the organization, enabling LLM-based systems, computer vision, and intelligent automation for internal products and client platforms.
• Owned end-to-end client problem solving, translating complex business challenges into scalable technology and AI solutions across OTT, healthcare, fashion, and semiconductor domains.
• Introduced structured architecture governance (HLD/LLD, design reviews), significantly reducing rework and technical debt across teams.
• Led delivery governance across multiple concurrent programs, ensuring predictable releases, risk management, and stakeholder confidence.
• Mentored senior engineers and emerging leaders, strengthening internal capability in AI architecture, backend systems, and delivery leadership.
• Balanced innovation with execution, delivering production-grade AI solutions while managing cost, scalability, and operational risk.

Academy accreditation - Generative AI fundamentals by Databricks

• TestServ, AI-Powered SaaS Platform, Chief Architect & Program Owner, Designed and delivered a scalable, multi-tenant SaaS architecture, AI-driven workflow orchestration, intelligent decisioning, and test generation, Owned roadmap, architecture evolution, and delivery execution
• Autocodium, Unified Automation & AI Platform, Defined platform architecture enabling extensible automation and AI-assisted workflows, Unified automation across functional, API, and AI-driven testing layers
• Wellzy, Digital Health & Wellness Platform, End-to-end engineering ownership, Ensured platform scalability, stability, and roadmap delivery
• Wiztap, Workflow & Integration Platform, Architected scalable workflow orchestration and integration frameworks

• AI Fashion Intelligence Platform, AdNet Global, Solution Architect & Delivery Owner, Owned end-to-end AI solution design and delivery for a fashion intelligence and virtual try-on platform, Architected computer vision pipelines for garment segmentation and classification, color transformation and texture mapping, pose-aware visual alignment, Governed use of advanced CV and GenAI models (YOLO-based detection, image editing, pose and texture adapters), Defined image quality benchmarking standards using HSV-based logic, SSIM, LPIPS, and Delta-E, Ensured production readiness, scalability, and delivery timelines
• AI Vision for Robotics, Lam Research India Pvt. Ltd, Technology Solution Owner, Led AI-driven vision solutioning for robotic and cobot-based semiconductor manufacturing workflows, Architected visual inspection pipelines for screw presence and assembly validation, lighting condition checks and anomaly detection, Applied AI feedback loops to improve operational safety, reliability, and automation accuracy, Owned validation strategy, delivery execution, and stakeholder communication
• AI Movie Trailer Generation Platform, MediaCorp (Singapore), AI Platform Owner & Architect, Owned architecture and delivery of an AI-powered movie trailer generation system, Designed pipelines for scene detection and segmentation, highlight extraction and scoring logic, LLM-based reasoning for scene importance and content summarization, Enabled automated creation of promotional trailers from full-length media assets, Ensured scalable AI inference and production deployment readiness
• LLM-Powered AI Platform, Chief Architect & Program Owner, Designed and governed a production-grade LLM-powered AI platform, Defined architecture for REST-based microservices, LLM inference using cloud and local models, AI agent orchestration for multi-step reasoning workflows, Oversaw prompt engineering, prompt chaining, and adaptive response optimization, Led deployment using Dockerized services on cloud infrastructure, Enabled dashboards and internal tooling for AI observability and demos

• Built and managed a 37+ member technology organization
• Defined execution models across architecture, implementation, and delivery
• Owned portfolio-level planning, prioritization, and execution
• Balanced speed, cost, scalability, and technical debt
• Regular interaction with CXOs, senior stakeholders, and global clients