Atul Shridhar

Associate Consultant

Oakville, Ontario, Canada5 yrs 6 mos experience
Highly Stable

Key Highlights

  • Delivered $65M+ ARR uplift and $7M+ annual cloud savings.
  • Sustained 99.9%+ reliability while meeting regulatory standards.
  • Built multi-tenant SaaS with clear golden paths for CI/CD.
Stackforce AI infers this person is a Fintech and SaaS expert with a focus on AI and data-driven solutions.

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Skills

Other Skills

AlgorithmsCC++C/C++Data SecurityDistributed SystemsHadoopJavaJava Enterprise EditionJavaScriptLinuxMachine LearningMapReduceMobile DevicesMobile SDK

About

I build platforms that compound—cloud, data, and AI/ML foundations that make products faster to ship, cheaper to run, safer to operate, and easier to extend. With 18+ years across fintech, retail, and SaaS, I’ve delivered $65M+ ARR uplift, $7M+ annual cloud savings, 80% unit-cost reductions, and 1B+ monthly automations—while sustaining 99.9%+ reliability and meeting regulatory standards. My focus: turning AI pilots into production with AI FinOps and MLOps guardrails (RAG, orchestration, observability); modernizing data platforms for real-time analytics and personalization; and building multi-tenant SaaS with clear golden paths (CI/CD, SLOs, rollout gates, governance). I partner with Product and business leaders to ensure technical bets deliver on revenue, margin, and risk goals. I stay close to the craft—through design/code reviews, technical sparring, and pair programming—while developing leaders and contributor communities that scale impact across 100+ product teams. If your company needs to modernize platforms, operationalize AI, or scale engineering with trust, that’s where I do my best work.

Experience

Independent consultant

Principal Consultant – Enterprise AI & Business Systems

May 2025Present · 10 mos · Toronto, Ontario, Canada · Hybrid

  • I help enterprises transition AI pilots to production systems that are scalable, cost-efficient, and compliant with regulatory requirements.
  • Risk & Compliance → Designed AI workflows in Salesforce and ServiceNow with governance and human-in-the-loop controls for regulated processes like claims and case management — cutting cycle times while maintaining full audit trails.
  • Enterprise Adoption → Partnered with CTOs and business leaders to align AI roadmaps with operational and regulatory needs. Built ROI and funding models, set up LLM evaluation pipelines to capture structured feedback from analysts and operators closest to cases and calls, and led implementation reviews, shadow testing, and production monitoring to ensure continuous compliance, security, and reliability at scale.

Atlassian

Senior Engineering Manager - Automation platform

Mar 2024May 2025 · 1 yr 2 mos · Sydney, New South Wales, Australia

  • Agentic Automation & Reliability — As Senior Engineering Manager, led Atlassian’s automation backbone across Jira, Confluence, JSM, and Rovo, spanning adoption, extensibility, and agentic automation. Directed a high-performing platform engineering team and partnered with product, design, and AI leadership to deliver intelligent capabilities such as incident playbooks, smart buttons, and automated summaries. Ensured Tier-1 reliability (>99.95% uptime) across 250+ automation components and launched the Integration Platform (Actions-as-a-Service) to accelerate extensibility and ecosystem growth. Scaled the contribution model to 100+ engineers and 35+ product teams, improving development velocity, code quality, and enterprise-wide adoption.

Loblaw digital

Principal Architect – Data & Platforms

Jul 2022Feb 2024 · 1 yr 7 mos · Greater Toronto Area, Canada · Hybrid

  • Supported data and analytics leaders through Helios transformation, re-architecting enterprise systems and data platforms to modernize retail operations. Delivered advanced analytics and real-time insights that improved decision-making across multiple brands, and built a GenAI-powered multi-brand storefront builder that enabled rapid experimentation, faster time-to-market, and personalized customer experiences at scale.

Paytm

3 roles

VP, Engineering – CLM & AI Infrastructure

Promoted

May 2017Jun 2022 · 5 yrs 1 mo

  • Architected Paytm’s AI/ML platforms as the enterprise customer data backbone powering products for 300M+ users & 20M+ merchants · Drove hypergrowth in India and enabled international expansion into Japan and other markets through AI-first platforms & solutions · Scaled Toronto into a 200+ engineer global hub, bridging India-scale growth with Canadian AI engineering innovation and setting technical direction for payments, banking, and data/AI products.

Principal Architect

Jul 2016May 2017 · 10 mos

VP, Engineering

Apr 2014Oct 2014 · 6 mos · Noida, Uttar Pradesh, India

  • Joined pre–PMF to build and scale Paytm’s first 15-member full-stack commerce team · Re-architected early systems into AWS microservices and established Day-1 practices (CI/CD, IaC, growth stack) to enable rapid multi-vertical launches and mobile app development.

Hike messenger

Director of Engineering – Messaging Platform

Oct 2014Jul 2016 · 1 yr 9 mos · Gurugram, Haryana, India · On-site

  • Led platform growth for Hike’s 100M+ user super-app · Built in-chat SDK for 20+ micro-apps, launched Hike News & Channels (1.5B+ monthly views), and scaled reliability & monetization systems (>99.5% uptime, Sev-1/2 incidents ↓60% QoQ).

Exponential

3 roles

Technical Fellow

Promoted

Mar 2012Apr 2014 · 2 yrs 1 mo

  • Joined Tribal Fusion, a fast-growing independent display, video, and mobile ad network (later rebranded Exponential, 25+ countries, brands incl. Firefly Video, AppSnack, AdoTube) · Architected and scaled the AdTech backbone of a bootstrapped, profitable platform serving 30B+ monthly impressions with sub-10 ms latency · Advanced core infrastructure (async-C web servers, 150K+ QPS user store, GPU/OpenMPI HPC) and pioneered fraud detection, real-time targeting, and zero-downtime datacenter deployments across thousands of machines, while optimizing cost, uptime, and reliability for IPO-scale readiness.

Engineering Manager

Promoted

Sep 2009Mar 2012 · 2 yrs 6 mos

Senior Software Engineer

May 2008Sep 2009 · 1 yr 4 mos

Comverse

Senior Software Engineer

Jun 2006May 2008 · 1 yr 11 mos · Gurugram, Haryana, India

  • Started with CSG Kenan, one of the world’s most widely deployed billing platforms, later transitioning to Comverse after its India acquisition · Engineered real-time billing systems (RTB, Kenan FX) for 5M+ subscribers, built C++ middleware on BEA Tuxedo, and integrated PCI-compliant payment gateways (CyberSource) · Optimized Oracle CDR processing (–30% nightly cycles) and delivered sub-millisecond transaction paths across Tier-1 telecom BSS/OSS environments.

Hughes

Software Engineer

Jan 2004Aug 2004 · 7 mos · Gurugram, Haryana, India

  • Started at Hughes Software Systems, India’s premier telecom R&D center powering global satellite and networking products · Worked on embedded telecom systems for THURAYA satellite networks and NEC Japan switches/routers using C/C++ on VxWorks · Built GSM Layer 3 simulators, protocol harnesses, and debugging tools, gaining first-hand exposure to real-world engineering practices before pursuing M.Tech research.

Education

Jawaharlal Nehru Vishvavidyalaya

M.Tech — Computer Science

Jan 2004Jan 2006

Delhi University

Bachelor of Information Science — Computer Science

Jan 2000Jan 2004

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