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Mohammed SadiqueMS
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Mohammed Sadique

@mohammedsadique

I’m a Technical Lead and Solution Architect building scalable Python/Node microservices and AI-augmented platforms for enterprise SaaS.

India
Message

What I'm looking for

I’m looking to lead architecture and delivery for enterprise SaaS—building scalable Python/Node microservices and AI/LLM features, partnering with product and stakeholders, and driving measurable engineering productivity and delivery outcomes in Agile teams.

Results-driven Technical Lead and Solution Architect with 18+ years of experience designing and scaling enterprise SaaS, OTT, safety, and AI-augmented platforms across the US and Indian markets. I lead cross-functional teams (12+ engineers), architect microservices backends on Python and Node.js, and ship production-grade AI features using LLMs—delivering 60–70% productivity improvements.

I partner with business stakeholders to translate complex requirements into resilient, scalable systems, with deep expertise in RESTful API design, third-party integrations, and cloud-deployed architectures on AWS. From Pool Brain AI (LLM + LSI dosing logic) improving accuracy by 30% to Safer Watch alerts reducing incident response time by up to 30%, I focus on practical delivery, strong engineering best practices, and measurable outcomes.

Experience

Work history, roles, and key accomplishments

GL
Current

Technical Lead & Solution Architect

Gatesix Technologies India Pvt. Ltd.

Feb 2022 - Present (4 years 4 months)

Architected and led end-to-end technical strategy for multiple SaaS product lines, reducing time-to-delivery by ~40% and improving engineering productivity by 60–70%. Built Python/Node.js microservices on AWS for US enterprise clients and shipped Pool Brain AI, improving automation accuracy by 30% and eliminating ~4 manual touchpoints per job.

SI

Team Lead

Swap Infotech

Dec 2017 - Jan 2022 (4 years 1 month)

Led 3 cross-functional development squads delivering Safer Watch, owning requirements, architecture, sprint planning, QA, and deployments across a 15-month product runway. Reduced production defect rate by ~20% via structured code reviews and automated test gates, and improved incident response time by 30% with real-time alerts and two-way communications.

Education

Degrees, certifications, and relevant coursework

Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) logoRR

Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV)

Master of Computer Applications, Computer Applications

Earned an MCA from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) in 2006.

Devi Ahilya Vishwa Vidhyalaya (DAVV) logoDD

Devi Ahilya Vishwa Vidhyalaya (DAVV)

Bachelor of Science, Computer Maintenance

Earned a B.Sc. focused on Computer Maintenance from Devi Ahilya Vishwa Vidhyalaya (DAVV).

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