Professional Summary: As a seasoned professional with three years of hands-on experience, I have honed my skills in business strategy, technical proficiency, and interpersonal dynamics. My journey began with a remarkable achievement—earning Microsoft Certified Professional and Certified Specialist designations at the age of 13. This early passion for technology has fueled my dedication to staying at the forefront of innovation. Technical Skills: My technical proficiency encompasses a wide array of frameworks, languages, and tools, including React, NodeJS, Python, Go, and Java, as well as databases like MongoDB, MySQL, and PostgreSQL. I have successfully applied these skills to diverse projects, ranging from redesigning IoT-based truck monitoring systems to developing scalable language translation services. Business Acumen: In my current role at Bytecorp.ai, I have contributed to the success of Autilient, a project focused on revamping an IoT-based truck monitoring system. Through strategic decision-making and effective team leadership, I redesigned the system for real-time tracking, reduced memory consumption significantly, and transitioned from microservices to a more efficient monolith architecture. At Shaed, I led a team of six developers in managing multiple SaaS solutions for the EV industry, emphasizing collaborative development and streamlined processes. Soft Skills: Beyond technical expertise, my leadership and communication skills have been instrumental in directing teams and ensuring project success. I thrive on challenges, and my ability to tackle complex problems has been consistently recognized throughout my career. I am adept at translating technical concepts for non-technical stakeholders, fostering a collaborative work environment, and adapting to the evolving landscape of software engineering. Education and Certifications: BSCS, Deep Learning Specialization from Coursera, Intro to Prob and Data from Coursera

A palm-sized device to solve all fleet problems. Making your fleet safer and secure by providing an integrated platform with detailed analytics and an experience made easy for users.

Redesigned IoT truck monitoring with Jetson Nanos for real-time tracking of truck kinetics and driver safety. Used Go for its concurrency capabilities and easy deployment via static binaries, facilitating over-the-air updates. Utilized Kafka as a messaging system to deliver Protobuf messages for real-time updates between the core server and devices, as well as for video streaming from Nano cameras to another server. Reduced memory consumption drastically from ~3GB to 60MB. Refactored the Core API server using Django, transitioning from a microservice setup to a monolith architecture.

Go, FAST API, React, Helm, Kubernetes, Docker, Kafka, Azure HDInsight, Protobuf, Azure