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Akshay Nayak Portrait

Software Engineer specializing in AI & Full-Stack Development.

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About Me

I like to say my work lives where curiosity, computation, & a slightly unreasonable desire for efficiency intersect. As a Master’s student at The George Washington University, I genuinely enjoy making machines think and systems scale.

My world revolves around AI, ML, & DL means not just the theory, but the engineering that turns research into intelligence. Whether it's optimizing a Go-based audio engine or architecting Pragati, I treat performance bottlenecks like personal challenges.

"The best systems scale without making the user feel the weight of that scale."

Research Focus

  • Trust Calibration
  • Multimodal Error Detection
  • Human-Robot Interaction

Alma Mater

GWU

MS in Computer Science

George Washington University

Washington DC, USA August 2024 – May 2026
NITW

B.Tech in Computer Science

National Institute of Technology, Warangal

Warangal, India July 2017 – May 2021

My Professional Journey

GWU

AI Developer Intern

George Washington University

Washington DC, USA | May 2025 - Aug 2025

Next.js TypeScript PostgreSQL RAG Vercel AI
Mastercard

Software Engineer II

Mastercard

Pune, India | July 2021 - Aug 2024

Full Stack Python React.js Modelling Django
Alan Turing

ML Researcher

Alan Turing Institute

London, UK | Jan 2021 - July 2021

Machine Learning LDA XLNet Sentiment Analysis
NITW

Research Assistant

NIT Warangal

India | July 2019 - Aug 2020

Deep Learning INASNET ResNet50 CNN
Setu

Software Intern

Setu.co

Bengaluru, India | May 2019 - July 2019

API Security OAuth 2.0 Django OpenID Connect
IISc

Research Intern

Indian Institute of Science

India | May 2018 - July 2018

Computer Vision MTCNN 3D-ResNet Pose Estimation

Technical Skills

Python Golang TypeScript React Next.js PyTorch PostgreSQL Docker RAG Agentic Systems Cloud Infrastructure Python Golang TypeScript React Next.js PyTorch PostgreSQL Docker RAG Agentic Systems Cloud Infrastructure

AI & Agents

PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, DSPy, RAG, Vector Search, Prompt Engineering, Agent Evaluation, OpenAI API, Gemini API, Vercel AI SDK, GPT, Claude Sonnet, Gemini Pro, Mixtral, DeepSeek, Qwen, MLX Format Models.

Backend

Python, Go, Node.js, Django, Flask, FastAPI, REST APIs, API Design, Microservices, Message Queues, SQL, PostgreSQL, MongoDB, Firebase, pgvector, Redis, Large-Scale Data Processing, Statistical Modeling.

Frontend

TypeScript, React.js, Next.js, Vite, Framer Motion, JavaScript, Java, C++, C, Bash, HTML, CSS, AEM.

Infrastructure

Docker, Kubernetes, AWS, GCP, Azure, SLURM, Splunk, Git, Stash, Jira, CI/CD, Linux, Postman, Vercel.

Publications

Behavioral Data Science in financial services

Forthcoming in Handbook of Behavioural Data Science, Cambridge University Press, 2025

Co-authored with Prof. Ganna Pogrebna, Pruthvi Taranath.

View Publication →

INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network

ISA Transactions, 2022

Co-authored with Prof. M. Srinivas, Murukessan Perumal, et.al.

View Publication →

Multi Features Based Facial Expression Recognition

Machine Learning Algorithms and Applications book chapter, Wiley Press, 2020

Co-authored with Prof. M. Srinivas, S. Saurav, and Murkeshan A P.

View Publication →

Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques

CLEF (Working Notes)

Co-authored with Prof. M. Srinivas, A Nayak, A Bhatt.

View Publication →

My Projects

Master's Thesis Project

Master's Thesis

Conducting advanced research in Trust Calibration in Robot Assistance via Multimodal Error Detection.

IN PROGRESS...
AnveshAI — AI course assistant platform

AnveshAI

Open-source platform for building private, citation-aware AI course assistants. Professors upload course materials and share a public link; students chat instantly with no login. Built with Next.js 15, RAG over pgvector, Inngest background jobs, and free-tier LLM providers.

Role: Full-stack developer & product owner

Pragati Board (Real time collaborative Task Manager)

Pragati Board

Developed a high-performance collaborative task tool with React and Vite, optimizing render cycles via memoization strategies and implementing a seamless drag and drop interface.

ReplateIQ.ai

ReplateIQ

An enterprise-grade platform combining AI-powered dietary planning, caloric analysis, and community-driven food rescue.

LLM Fine-Tuning Project

Fine-Tuning LLM for Code Generation

Fine-tuned Deepseek Coder 7B on 5,000 programming problems to improve task-specific reasoning.

Go Audio Visualizer

Go Audio Visualizer Tool

A web app to process .wav files, execute STFT, and visualize time-frequency spectrograms using Go.

Veritas Core Project

Veritas Core

A Java-based simulator for a custom 16-bit CISC instruction set architecture (ISA) with a FIFO cache.

LuminaAI - Career Intelligence Platform

Lumina AI

Lumina is a full-stack application designed to optimize the hiring pipeline from the candidate's side. It’s not just a resume builder. It’s an AI-powered Career Engine that treats your profile as a structured data artifact.

Satya Project

Satya

A full-stack anti-corruption platform providing secure incident reporting via web and a native Android client.

Agni Project

Agni

An E-voting system architected with Elliptic Curve Cryptography (ECC) for secure, non-repudiable voter authentication.

Brahmastra Project

Brahmastra

An innovative solution for disaster relief that bridges communication gaps in low-network areas using USSD/SMS.

Get In Touch

I'm currently open to new opportunities and collaborations. Send me a message!

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