Unsheathing the cutting edge of AI

Akash

Pillai

Data Scientist & AI Engineer

Building intelligent systems at the edge of AI and software engineering.

View My WorkGet In Touch
Texas A&M
MS Data Science Student
TAMIDS
Student Asst · ODS Lab
3×
Hackathon Winner
  • AI / LLMs
  • MLOps
  • Full-Stack
  • Cloud
  • Data Sci
  • DevOps
01 /

About Me

I'm a Master's student in Data Science at Texas A&M University, with a background in Computer Science Engineering. I build intelligent systems at the intersection of machine learning, AI agents, and software engineering.

Currently working at the TAMU Institute of Data Science, developing predictive models for disaster impact estimation and computer vision pipelines for disease detection. Previously built production-grade systems at Xebia using Docker, Kubernetes, and Azure DevOps.

Outside of work, I'm a 3x hackathon winner who loves pushing the boundaries of what's possible with LLMs, AI agents, and multimodal systems. Mentored at MIT's HackMIT and won challenges at TAMU Datathon and TAMUHack.

3+
Years Exp
5x
Hackathon Awards
6+
AI Projects
Languages
  • Python
  • Java
  • JavaScript
  • Node.js
  • React
  • Angular
  • SQL
  • HTML
  • CSS
  • Stata
Technologies & Tools
  • Azure
  • Kubernetes
  • Docker
  • Ubuntu/Linux
  • webMethods
  • Hadoop
  • Pandas
  • NumPy
  • PyTorch
  • TensorFlow
  • Snowflake
  • BigQuery
  • LLMs
  • RAGs
  • AI Agents
  • MCPs
  • MLOps
  • AgentOps
  • AWS
  • Microsoft Office
02 /

Experience

Current

Texas A&M Institute of Data Science

Student Assistant – Operational Data Science Lab
College Station, TX
Apr 2025 – Present
  • Developing models to predict hurricane impact in Texas using FEMA datasets and real-time Twitter data.
  • Building a computer vision data pipeline for early prediction of Bovine Respiratory Disease (BRD) in beef cattle using behavior monitoring and video analysis.

Xebia Product Engineering

Associate Software Engineer
Hyderabad, India
Jul 2023 – Jul 2024
  • Built Flow Services to integrate insurance APIs, boosting data-flow efficiency by 25%. Simplified migration and translation processes using Connectors for cross-system communication.
  • Directed management of containerized environments using Docker and Kubernetes with automatic resource allocation, reducing hardware usage by 60%.
  • Coordinated with CICD team to automate deployment pipelines on Azure, ensuring scalable infrastructure and reducing bugs by 30%.

coMakeIT (part of Xebia)

Engineer Trainee
Hyderabad, India
Aug 2022 – Jun 2023
  • Implemented a headless architecture website for the Developer Portal, utilized by 120+ developers weekly for API management and centralized access.
  • Partnered with senior members to orchestrate creation of 10+ BPM flows, enhancing process clarity across 6 teams including DevOps and UI.
  • Interacted with clients, addressed product requirements, and efficiently resolved bugs for multiple web applications.
03 /

Projects

scroll to explore

01
CurateX
Multi-Source AI Content Creator

MCP server that automates content generation—from trend mining to script, voice, and video—using Reddit, YouTube, News and OpenRouter LLMs integrated with ElevenLabs and D-ID.

MCPLLMsElevenLabsD-ID+2
02
NimbusNews
AI Weather Reporter

Transforms weather charts into video summaries using Llama 3.2 Vision, Llama 3.1 70B, Deepgram AI, Wav2Lip, and AWS/Cloudflare.

Llama 3.2DeepgramWav2LipAWS S3+1
03
Phoenix
AI-Driven Productivity & Quest System

Productivity engine that transforms Gmail and Calendar events into quests using AWS Bedrock (Claude Sonnet), with agents for planning, XP tracking, and personalized guidance.

AWS BedrockClaude SonnetGmail APIGoogle Calendar+1
04
Dr. Quick
AI Patient Intake System

AI-powered tool using Streamlit, Groq, AWS, and Deepgram to automate patient intake, reduce wait times, and sync records via Notion API.

StreamlitGroqAWSDeepgram+1
05
Alzheimer's Detection
Early ML Detection via Blood Biomarkers

Leveraged support vector machines to build multivariable models for Alzheimer's detection by analyzing patterns in Amyloid-based biomarkers from blood plasma proteins.

PythonSVMScikit-learnPandas+1
06
FaceAttend
AI Face Recognition Attendance Tool

Computer vision-based attendance tool deploying Dlib's CNN-based face detector, achieving high accuracy in low-light environments with minimal training data.

PythonDlibCNNOpenCV+1
04 /

Education

MS
Master of Science

Texas A&M University

Data Science
College Station, TX
Aug 2024 – May 2026

Focusing on AI systems, machine learning, and operational data science.

B.Tech
Bachelor of Technology

CMR Institute of Technology

Computer Science and Engineering
Hyderabad, India
Aug 2019 – Jul 2023

Strong foundation in algorithms, distributed systems, and software engineering.

05 /

Achievements

1st Place – MCP Challenge 2nd Place – Dashboard Challenge
TAMU Datathon 2025
Texas A&M University

Won dual placements demonstrating rapid prototyping, creative thinking, and data-driven problem solving.

Click to expand →
Mentor & Judge
HackMIT25
Massachusetts Institute of Technology

Selected as mentor and judge, contributing technical guidance and evaluation at one of the world's leading undergrad hackathons.

Click to expand →
Grand Prize Winner
Build4Good Hackathon
Texas A&M University

Won the Grand Prize at a fast-paced 8-hour hackathon by developing an impactful social good solution.

Click to expand →
Best DevPost Submission 2nd Place – AWS Challenge
TAMUHack2025
Texas A&M University

Secured dual awards at a 24-hour hackathon through a high-impact, collaborative AWS-powered project.

Click to expand →
3rd Place
Devjam Hackathon
CMR Institute of Technology

Led a team of 4, securing 3rd place in an overnight hackathon through strong teamwork and innovation.

Click to expand →
06 /

Let's Connect

I'm actively looking for full-time opportunities in AI/ML, data science, and software engineering. Whether it's a role, a collaboration, or just a great conversation about AI — my inbox is always open.

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