AKSHAY

SANTHOSHKUMAR

Building Agentic AI workflows & Scalable Systems.

About

3 Years of Building in AI and Distributed Systems

AI-Engineer focused on building Autonomous Agentic-workflows and Distributed platforms that scale efficiently while driving down operational Costs.

This Portfolio is about a Engineer who specializes in AI-agents and Systems Design. I am always looking for challenges of replacing legacy Monoliths Systems with Event-driven architectures, finding the signal in the noise to leave platforms sturdier, faster, and more automated than I found them.

My professional foundation was built at McAfee, where I transitioned high-scale secure workflows to the cloud and scaled event-driven microservices to handle 10k+ events per day. Those years of managing 99.9% uptime and horizontal scaling across global databases turned my curiosity into a deep expertise in production-grade reliability.

Today, at ChannelCore, I lead the development of Full-Stack AI MVPs and autonomous agentic workflows that reduce manual effort by 60%. By scaling LLM APIs and optimizing token usage, I focus on delivering cutting-edge intelligence while maintaining a strict 30% reduction in operational costs.

Beyond the delivery Sprints, I have Mentored fellow engineers to reduce code redundancy and continue to build open-source agentic job systems that push the boundaries of LLM integration. I am always searching for the next place where thoughtful Engineering can solve complex problems through autonomous execution

Experience

Roles that shaped my Systems thinking from scaling Fault-tolerant Microservices to building autonomous AI-Agents workflows.

ChannelCore

AI Engineer

2025 · California

Built a production-ready full-stack AI MVP in 6 weeks at a 4-person startup, combining Next.js with scalable LLM pipelines to ship fast without compromising architecture.

Impact: 45% latency reduction and 30% cost savings

Focus: Agentic AI workflows and Claude-driven automation

Skills & Technologies

Agentic AILLM PipelinesNext.jsRedisSemantic Caching

University at Buffalo - SUNY

Master's in Computer Science

2024 – 2025 · Buffalo, NY

Deepened expertise in scalable systems, machine learning, and advanced algorithm design while balancing research-oriented rigor with practical implementation.

Core: Distributed Systems and Object-Oriented Design

Focus: Machine Learning and Deep Learning

Coursework

Machine LearningDeep LearningDistributed SystemsComputer Vision

McAfee

Full-Stack Software Developer

2022 – 2024 · Remote

Led migration from a legacy monolith to an event-driven AWS microservices architecture processing 10M+ events/day and scaling beyond 10K users.

75% latency reduction via schema optimization

99.9% uptime with geo-sharded databases

Skills & Technologies

MicroservicesKafkaRedisAWSDatabase Sharding

McAfee

Software Developer Intern

2022 · Remote

Strengthened authentication, CI/CD, and frontend observability while improving release velocity and reducing login friction at scale.

JWT/bcrypt auth for 1,000+ concurrent sessions

CI/CD automation reduced release cycle to 5 days

Skills & Technologies

React.jsNode.jsJWTCI/CDAuthentication

Anna University

Bachelor's in Computer Science

2018 – 2022 · India

Built a strong systems foundation through hands-on projects and rigorous coursework in core computer science disciplines.

Core: Data Structures and Operating Systems

Focus: Networking and Cloud Computing

Coursework

Data StructuresObject Oriented ProgrammingOperating SystemsCloud ComputingComputer NetworkingBig Data Analysis

Projects

Autonomously drafts job applications from RSS feeds

Just Apply

Developed an agentic job application system that polls RSS feeds for job links and executes a LangChain workflows per job link. The workflow retrieves the job description, extracts key requirements, and drafts a tailored application using an LLM. This system automates the initial application process, allowing for rapid and personalized job submissions.

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Skills

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Testimonials

Ratnesh Dubey

Software Architect at McAfee

I had the pleasure of working closely with Akshay when he was assigned to our project at McAfee. During that time, Akshay demonstrated not only exceptional technical expertise but also a remarkable attitude that made him a true asset to the team. As a Node.js developer, his deep understanding of backend technologies, asynchronous programming, and API integrations was evident.

Awards

Leetcode Knight
Ranked within the top 3% of global developers on LeetCode, achieving the prestigious Knight badge through consistent performance in weekly competitive...
Top 3.09% Globally | 1,960+ Problems Solved
Competitive Programming Night
Secured first place in LeetCode Night, a university-wide competitive programming event at the University at Buffalo where participants competed to sol...
1st Place | University at Buffalo Coding Competition
HackWithInfy - Infosys
Qualified for the interview stage by ranking in the top 5% nationwide in a hard-difficulty competitive programming assessment, demonstrating strong ex...
Top 5% | National Coding Challenge
Code Currents '22
Secured third place in a national-level coding competition hosted by the National Institute of Technology, Tiruchirappalli, where participants solved ...
3rd Place | National Competitive Programming

Contact

Perfect

Let's talk

30 min intro call

Let's worktogether

Have a project in mind? I'd love to hear about it. Let's talk.

trevorakshay@gmail.com

3 Years of Building in AI and Distributed Systems