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Agha Muhammad Ali N. Cloud, Modern Frameworks and AI Platforms

My name is Agha Muhammad Ali N. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: JavaScript, Next.js, React, node.js, Spring Boot, etc.. I hold a degree in Bachelor of Engineering (B.Eng.). Some of the notable projects I’ve worked on include: Gridware, Rivian, Insage AI, Pickle, Carbonlink, etc.. I am based in Lahore, Pakistan. I've successfully completed 12 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • Cloud, Modern Frameworks and AI Platforms

    7 years

  • JavaScript

    1 Year

  • Next.js

    1 Year

  • React

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

Gridware

● Designed and implemented scalable, distributed systems supporting the concurrent command and control of millions of IoT devices for real-time grid monitoring. ● Developed robust data ingestion pipelines and APIs using Python, ensuring seamless processing of real-time sensor data. ● Built customer-facing features and internal tools using React and TypeScript to improve user experience and team productivity. ● Implemented observability solutions using tools like New Relic, Grafana, and Prometheus to monitor system performance and identify issues proactively.

Rivian

● Leveraged AWS technologies to architect a serverless web application for seamless BOP enrichment, enhancing operational efficiency and scalability. ● Integrated AI-powered solutions using LLM LangChain, Vector embeddings to process and interpret unstructured manufacturing data, enabling advanced insights and intelligent recommendations for enriching BOP workflows.
 ● Implemented GitLab CI/CD pipelines to automate code deployments ● Utilized expertise in AWS and serverless architectures, along with strong Python and React, Zustand skills

Insage AI

● Developed InsageAI platform leveraging cutting-edge technologies: Next.js, LLM, Vercel AI, Python, Machine Learning, Blockchain, Web3, PostgreSQL, MongoDB, Redis, AWS, Jira , Cypress and Mage AI. ● Engineered an AI-powered system for continuous data analysis that generates actionable insights for data-driven decision-making. ● Enabled users to create custom visualizations, metrics, and reports or leverage an AI copilot to automate complex tasks. ● Designed a personalized AI assistant, trained on user data and preferences, providing context-aware, intelligent experiences

Pickle

● Collaborated with Pickle, leveraging modern technologies like Next.js, TypeScript, AWS, Express.js, Redis and Artificial Intelligence-driven analytics to build a dynamic platform for social media insights. ● Leveraged vector embeddings to implement advanced recommendation functionality, ensuring precise matching based on content trends, performance metrics, and audience engagement. ● Engineered a flexible notification system capable of dynamically generating Email and SMS templates based on user data.

Carbonlink

• Engineered the platform powering decarbonization. • Developed cutting-edge APIs using Node.js, Typescript, AWS Lambda, and a Serverless architecture, ensuring optimal performance and flexibility. • Implemented a robust and scalable infrastructure orchestrated with AWS CDK, facilitating seamless scalability to accommodate evolving needs. • Ensured secure and frictionless payment transactions through seamless integration with Stripe. • Incorporated advanced features such as intelligent factor suggestions driven by vector embeddings, Artificial Intelligence, and the Langchain LLM language model. • Established transparency and accountability in Carbon Offset/Retirement through Web3 Blockchain Fireblocks technology. • Leveraged Prisma/PlanetScale databases for efficient and reliable data storage and retrieval. • Maintained comprehensive documentation using OpenAPI JSON schemas and Gitbook for clarity and accessibility. • Implemented precise logs and vigilant monitoring through OpenSearch to proactively address issues. • Streamlined task management with Jira for efficient project coordination. • Automated CI/CD pipelines seamlessly integrated with Github Actions and AWS Code Pipeline, ensuring swift and reliable code deployment. Empowering users to seamlessly purchase, manage, and retire carbon credits from diverse projects and pools, the platform goes beyond by providing API integration. This functionality allows users to effortlessly incorporate carbon projects and pools directly into their products through the platform's API endpoints.

Education

  • Punjab University College of Information Technology (PUCIT)

    Bachelor of Engineering (B.Eng.) in Software Engineering

    2015-01-01-2019-01-01

Languages

  • English

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