Welcome to

Aayush Swami

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CS junior at Arizona State University building scalable backend systems, fast serverless APIs, and AI tools using Python, TypeScript, and cloud infrastructure. Focused on AI/ML, scientific ML, and automation for real-world systems in research and startups.

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Software Engineering AI / ML Backend & APIs Agentic AI Trading Automation

Current Focus

Software Engineer • AI/ML Developer

Designing scalable ML pipelines, agent-based systems, and full-stack tools with Python, TypeScript, and cloud-native infrastructure. Actively seeking SWE & AI/ML internships for Summer–Fall 2026.

Education B.S. CS @ ASU • GPA 3.88
Open To SWE • AI/ML • Systems Internships

About Me

Software Engineer • AI/ML Developer • Systems & Automation

I’m Aayush Swami, a Computer Science junior at Arizona State University (GPA 3.88) with experience building scalable backend systems, serverless APIs, and AI tools for research labs and startups.

I work across AI/ML, backend systems, distributed & cloud infrastructure, and agentic AI. I enjoy taking ideas from an experiment or prototype all the way to reliable, production-ready systems with strong observability and documentation.

Some topics I’ve been deep into recently:

  • BLIP-2 pipelines for multimodal scientific & financial data.
  • GPU-accelerated ML workflows and latency-optimized inference.
  • Real-time telemetry dashboards for robotics and rovers.
  • Agentic trading systems integrated with indicators & MT5.

Relevant coursework: Data Structures & Algorithms, Operating Systems, Distributed Software Development, Software Engineering, Human–Computer Interaction, Applied Linear Algebra, Probability & Statistics, Discrete Math.

Skills

What I work with day-to-day

Languages

Python, TypeScript, JavaScript, Java, C/C++, Go, SQL, Swift, MATLAB, HTML/CSS

AI / ML & Data

PyTorch, TensorFlow, Scikit-learn, Hugging Face, NumPy, Pandas, OpenCV, Matplotlib, BLIP-2, LLaVA, OpenAI APIs

Backend & APIs

FastAPI, MERN stack, Node.js, RESTful APIs, serverless architectures, Edge Runtime

Databases & Infra

PostgreSQL, MongoDB, MySQL, Firebase, InfluxDB, Cloudflare Workers/Pages, AWS, Google Cloud, Render

DevOps & Practices

Docker, Kubernetes, GitHub Actions, CI/CD pipelines, GPU clusters, Agile/Scrum, data visualization, ML Ops, trading automation

Experience

Research, startups, and systems I’ve shipped.

ML Researcher

Rolston Lab · Arizona State University

Aug 2024 – Present · Tempe, AZ

  • Built a BLIP-2 + PyTorch pipeline to extract microscopy/sensor data, enabling automated preprocessing for downstream ML models.
  • Optimized GPU usage on ASU’s supercomputing clusters and redesigned inference flow, cutting model latency by 65%.
  • Achieved 0.94 R² with a GPR model for battery forecasting, improving reliability of degradation predictions.
  • Wrote technical documentation for reproducible training, validation, and deployment of AI models.

Software Engineer Intern

Spectra Education Consultancy

May 2025 – Aug 2025 · Remote

  • Developed an AI support chatbot using Python, NLP, and LLM-style agent workflows, cutting response time by 60%.
  • Re-architected a MERN + TypeScript backend and introduced a Docker-based CI/CD pipeline, improving platform uptime to 99%.
  • Added an ML recommendation system that personalized content and increased student engagement by 40%.
  • Documented APIs and workflows to make iteration faster for engineering and content teams.

Software Developer

Odyssey Rover Project

Jan 2025 – May 2025 · Tempe, AZ

  • Engineered a real-time telemetry dashboard with TypeScript and Python to stream and visualize rover sensor data with low latency.
  • Integrated LiDAR, ultrasonic, and environmental sensors with Raspberry Pi to support autonomous navigation and control.
  • Built an LLM-based diagnostic system to detect hardware anomalies and enable semi-autonomous system recovery.

Projects

Systems, AI/ML, and automation projects I’ve built.

AI / Trading

AI-Powered Trading Agent

Python + FastAPI + PostgreSQL platform for real-time ML trading predictions with GPU acceleration and serverless APIs. Combines BLIP-2-based chart understanding with indicators like RSI, EMA, and Supertrend.

Python • FastAPI • PostgreSQL • BLIP-2 • GPU • Agentic Workflows

Automation / LLM

Auto Cover-Letter & Greenhouse Auto-Apply

Agentic pipeline that scrapes job postings, extracts key skills, and generates personalized cover letters with an ATS-focused LLM, plus automated Greenhouse application flows using Selenium/Playwright.

Python • Requests/BeautifulSoup • LLMs • Cloudflare Workers AI • Playwright

AI / Trading

AI Chart Analyzer

BLIP-2 + PyTorch model that understands financial charts and outputs structured insights and natural language explanations for trading setups.

PyTorch • BLIP-2 • OpenAI APIs • Financial Data

Systems / Realtime

Real-Time Rover Dashboard

Next.js + TypeScript dashboard for rover telemetry with streaming socket connections, fault-tolerant command controls, and Grafana visualizations.

Next.js • TypeScript • Socket.io • Grafana • InfluxDB

Scientific ML

Battery Health Prediction Model

Gaussian Process Regression pipeline using EIS data to forecast lithium-ion battery degradation and state-of-health for improved reliability.

Python • SciKit-Learn • GPR • Scientific ML • EIS

Trading Automation

Elite Confluence Trading Bot

Automated XAU/USD trading strategy integrating multiple technical confluence signals with MT5 for fully automated execution and risk management.

Python • MT5 • Technical Analysis • Automation

Voice AI

Cloudflare AI Voice Assistant

Voice-enabled assistant on Workers AI using Llama 3.3 and Durable Objects for low-latency inference and custom tools that answer developer/system questions.

Cloudflare Workers • Workers AI • Llama 3.3 • Durable Objects

Mobile / Product

Weather & Cafe Finder iOS App

iOS app that suggests nearby cafes and clothing choices using real-time weather + geolocation APIs, with Firebase auth and user preference storage.

Swift • iOS • Firebase • REST APIs

Research

Rolston Lab • Arizona State University

4D ML Model for Interfacial Phenomena

Developing ML models to understand and predict interfacial behavior in energy materials across space, time, and operating conditions, enabling smarter design of energy systems.

BLIP-2 for Scientific Data Extraction

Building BLIP-2-based pipelines to extract structured information from microscopy images, plots, and scientific figures for high-throughput analysis and automated preprocessing.

Battery EIS ML Pipeline

Designing and implementing ML workflows using Electrochemical Impedance Spectroscopy (EIS) data for battery health prediction and degradation modeling with GPR.

Activities

Communities and programs I’m involved in.

Core Team Member

Google Developer Group · Arizona State University

Organize and lead technical workshops on ML and web development, helping 100+ students build real-world projects and understand modern tooling.

Adobe Student Ambassador

Adobe

Participate in closed testing of new AI features in Adobe Express, providing feedback on usability, responsiveness, and UX design for creative workflows.

Resume

Full details on my experience, projects, and coursework.

View my full resume for more details on my software engineering, AI/ML, backend, and systems experience across research labs, startups, and personal projects.

Open Resume PDF

Contact

Let’s build something intelligent, reliable, and useful.

I’m open to internships and collaborations in software engineering, AI/ML, systems, and trading automation. Reach out if you’d like to talk about roles, research, or product ideas.

Email: aayushswami.dev@gmail.com GitHub: @aayushswami123 LinkedIn: /in/aayush-swami