Rajiv Sikka

Role: Prologic Technologies
Location: Chandigarh, CH, IN
LinkedIn followers: 500 followers

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About Rajiv Sikka

Empowering global SMEs & Innovators through AI- driven bespoke digital…

Experience

Prologic Technologies
Present

Skills

Saas
Sql
Service-Oriented Architecture (Soa)
Software as a Service (Saas)
E-Commerce
Php
Web Design
Software Project Management
Crm
Sun Certified Java Programmer
Microsoft Sql Server
.net
Search Engine Optimization (SEO)
Google Api
Ria
Ajax
Data Modeling
Requirements Analysis
Customer Relationship Management (Crm)
Jquery
Javascript
Uml
Html 5
Web Applications
Soa
Consulting
Web Development
Mysql
SEO
Business Analysis
Databases
Outsourcing
Security
Enterprise Software
Enterprise Architecture
Agile Methodologies
Management
Integration
Task Management
Project Management

Contact information

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Current company

Prologic Technologies

IT System Custom Software Development · 62 employees · Founded 2010 · Mohali, Punjab, India

Prologic Technologies is a technology services company focused on 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗺𝘂𝘀𝘁 𝘄𝗼𝗿𝗸 𝘂𝗻𝗱𝗲𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀. Our work sits at the intersection of: >> Artificial Intelligence >> Software Engineering >> Data Platforms >> and Hardware-Integrated Environments We operate across 𝗛𝗲𝗮𝗹𝘁𝗵𝗧𝗲𝗰𝗵, 𝗥𝗲𝘁𝗮𝗶𝗹 & 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗧𝗲𝗰𝗵, 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮-𝗶𝗻𝘁𝗲𝗻𝘀𝗶𝘃𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀, where reliability, governance, and system behavior matter more than surface-level features. Unlike teams that approach AI as an add-on, we design systems where intelligence is part of the architecture- from data pipelines and decision flows to integrations with physical devices, sensors, and operational workflows. Our teams work globally with clients across 𝘁𝗵𝗲 𝗨𝗦, 𝗨𝗞, 𝗘𝗨, 𝗠𝗶𝗱𝗱𝗹𝗲 𝗘𝗮𝘀𝘁, 𝗮𝗻𝗱 𝗝𝗮𝗽𝗮𝗻, supporting initiatives such as: >> AI-driven intake and decision-support systems in regulated healthcare environments >> Autonomous and computer-vision- enabled retail systems >> Data and climate platforms designed to model real-world behavior >> Cross-border engineering and analytics collaboration for enterprise-scale platforms What defines our approach is not speed or hype, but 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗱𝗶𝘀𝗰𝗶𝗽𝗹𝗶𝗻𝗲: >> systems designed to degrade safely >> AI models that can be audited and explained >> architectures built for long-term operation, not short-term demos >> delivery processes that prioritize predictability, continuity, and accountability We work best with organizations building serious technology - 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁 𝘄𝗶𝘁𝗵 𝗽𝗲𝗼𝗽𝗹𝗲, 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝘀 𝘄𝗵𝗲𝗿𝗲 𝗳𝗮𝗶𝗹𝘂𝗿𝗲 𝗵𝗮𝘀 𝗿𝗲𝗮𝗹 𝗰𝗼𝗻𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀. Our role is to help translate AI potential into operationally sound systems that can be trusted at scale.

prologic-technologies.com

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