Rithik Gour Building OutMate.ai

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AI Engineer

OutMateOutbound Engine

Jan 2026 - Current (9 months)

As an AI Engineer at OutMateOutbound Engine, my primary responsibility was designing and implementing AI-driven outbound automation systems, including lead qualification logic, personalization engines, and intelligent workflow orchestration. In addition to my core AI competencies, I utilized Next.js to develop internal dashboards and monitoring interfaces that visualized campaign performance, AI-generated outputs, and user interactions. This framework supported API integrations and provided a structured frontend layer for managing outbound automation workflows effectively. Furthermore, I employed Supabase as a backend service for authentication, database management, and storing structured campaign data, AI-generated responses, and user acti

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BrandVelocity Ai

brandvelocity.ai

Aug 2025 - Dec 2025 (5 months)

As Tech Lead at BrandVelocity AI, my core responsibilities focused on AI-driven marketing automation, outbound intelligence, and workflow optimization. I leveraged my expertise in artificial intelligence (AI) and low-code automation to enhance our product offerings, ensuring seamless integration of advanced technologies. While my experience with Insurtech CRM development was not specifically within the insurance domain, I contributed to systems featuring CRM-style architecture, including lead tracking, customer lifecycle management, data enrichment, and automated engagement workflows. This experience has equipped me with a strong foundation in customer relationship management, adaptable to various industries. Additionally, I utilized Cursor

Ai Agent Engineer

GROWX

Jun 2025 - Current (1 year 4 months)

As an AI Agent Engineer at Grow10x since June 2025, I lead the design and deployment of intelligent, autonomous agents that drive next-generation automation and operational scalability. My role sits at the intersection of artificial intelligence, automation engineering, and applied product innovation, focused on transforming complex business processes into self-operating AI-driven systems. Key Highlights & Responsibilities include spearheading the development of intelligent agents using advanced LLM frameworks (OpenAI, LangChain) and RAG (Retrieval-Augmented Generation) architectures. I build automated workflows and multi-agent systems through n8n to orchestrate tasks across marketing, lead generation, operations, CRM, and data processing.

Machine Learning Engineer

Caprae Capital Partners

Mar 2024 - Jun 2025 (1 year 4 months)

As a Machine Learning Engineer at Caprae Capital, I focus on building intelligent, scalable systems that streamline lead generation and data-driven growth. My current work revolves around the development of LeadGenAI—an AI-powered lead generation and scraping tool designed to identify, extract, and prioritize high-value prospects with precision. Key Contributions: Designing and deploying end-to-end ML pipelines for intelligent lead scoring, contact extraction, and segmentation. Leveraging NLP techniques and web scraping technologies to automate data collection from diverse online sources. Implementing smart filters and classification models to enhance the accuracy of extracted business intelligence. Collaborating cross-functionally with pro

E-Commerce Platform

Internship Studio

Oct 2023 - Nov 2023 (2 months)

As an E-Commerce Platform developer, I designed and launched a full-stack e-commerce platform featuring robust user authentication and payment processing capabilities. I developed an inventory management system for over 500 products, ensuring real-time stock updates that contributed to a 25% boost in sales through an optimized user journey and performance enhancements. My expertise in the MERN stack, including MongoDB, Express.js, React.js, and Node.js, was crucial in delivering a seamless user experience. Additionally, I utilized the Stripe API for secure payment processing and Redis for efficient data caching.

While the primary focus was on e-commerce, my role also encompassed backend integration and database management, which

AI Software Engineer

NexSpacetech

Oct 2022 - Feb 2024 (1 year 5 months)

As an AI Software Engineer at NexSpce, I work on designing, developing, and deploying AI-driven solutions that enhance business intelligence and automation. My role involves: ✔ Machine Learning & Deep Learning – Building and optimizing predictive models using LSTMs, Transformers, and other advanced architectures. ✔ Data Engineering – Collecting, processing, and analyzing large-scale datasets for AI applications. ✔ AI-Powered Applications – Developing end-to-end AI solutions, integrating NLP, computer vision, and generative AI. ✔ MLOps & Deployment – Streamlining model deployment using Flask/Django, cloud services, and containerization (Docker, Kubernetes). ✔ Research & Innovation – Staying ahead with the latest AI trends and implementing cu

Machine Learning Intern

Internship Studio

Apr 2022 - Aug 2022 (5 months)

As a Machine Learning Intern at Internship Studio, my primary focus was on data preprocessing, model development, evaluation, and experimentation. I utilized my skills in machine learning and artificial intelligence (AI) to contribute to various projects. Additionally, I explored technologies such as React.js and Next.js to present machine learning outputs through user-friendly web interfaces and dashboards, enhancing the interactivity of predictions and visualizations. While my core responsibilities centered on machine learning, I also applied low-code automation concepts to streamline repetitive workflows, including data collection, preprocessing pipelines, report generation, and experiment tracking, ultimately reducing manual effort and

Software Engineer Intern

Forage

Jan 2022 - Mar 2022 (3 months)

As a Software Engineer Intern at Forage, I drove performance optimization initiatives that resulted in a 25% reduction in page load time, significantly boosting user engagement. I architected a user authentication system that enhanced registration completion rates by 30%. Additionally, I established automated testing protocols, cutting bug detection time by 40% and improving deployment reliability. My role also involved producing comprehensive technical documentation, which reduced onboarding time for new developers by 50%. Throughout my internship, I applied various technologies, including React.js, Node.js, MongoDB, and Docker, to simulate real-world engineering scenarios. I utilized Python for implementing backend logic and data processi

Software Engineer Intern

Forage

Jan 2022 - Mar 2022 (3 months)

As a Software Engineer Intern, I drove performance optimization, successfully reducing page load time by 25%, which significantly boosted user engagement. I architected a user authentication system that enhanced registration completion by 30% and established automated testing protocols that cut bug detection time by 40%, thereby enhancing deployment reliability. Additionally, I produced comprehensive technical documentation, which reduced onboarding time for new developers by 50%. Throughout my internship at Forage, I engaged in practical, project-based simulations that reflected real-world engineering scenarios, applying backend development and database management skills. While PostgreSQL and SQL were utilized in database-related exercises

Software Development Engineer

Blackcoffer

Sep 2021 - Dec 2021 (4 months)

As a Software Development Engineer, I developed a microservices architecture that supports over 10,000 daily active users, ensuring high availability and robust performance. I designed a data caching strategy that decreased database load by 35% and accelerated response times by 45%. Additionally, I spearheaded the migration of legacy systems to modern tech stacks, which improved maintainability and reduced technical debt. My role required effective collaboration in an agile environment, consistently meeting sprint deadlines while utilizing technologies such as the MERN stack, Redis, AWS, Python, and PostgreSQL.

In scenarios where frontend interfaces or dashboards were necessary, I leveraged Next.js to present analytical outputs a

Rithik Gour

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Rithik Gour

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