Aakash Vashishtha

Tempe, Arizona 85288 · (602) 574-5228 · avashis9@asu.edu

Software Development Engineer with 3+ years of experience shipping production systems across the full stack — from cloud infrastructure and data pipelines to backend services and frontend applications. Built microservices at Deloitte for Thomson Reuters, migrated infrastructure to Terraform at WABTEC, and most recently integrated AI capabilities into production applications at AdviNOW Medical. Also contributed to NeurIPS-accepted ML research at ASU's Interactive Robotics Lab. MS in Software Engineering from Arizona State University (3.8 GPA).

Experience

Machine Learning Engineer

Interactive Robotics Lab, Arizona State University

Technologies: Python, PyTorch, HuggingFace, Gymnasium, SLURM

  • Implemented ProPS framework using GPT-OSS 20B (20 billion parameters) on ASU Sol supercomputer, leveraging 80GB A100 GPUs for LLM inference during policy optimization
  • Orchestrated 200+ LLM calls across 4,000 episodes using SLURM job scheduling and managed long-running experiments via tmux with accelerate launch for GPU allocation
  • Evaluated across 15 continuous/discrete control tasks (MuJoCo, Atari, Classic Control) comparing linear policies optimized by LLM reasoning vs neural network-based baselines
  • Engineered Jinja2 prompt templates and regex-based parsing pipeline to reliably extract policy parameters from LLM responses, enabling automated policy optimization across all 15 evaluation tasks
  • Produced technical documentation and implementation enabling reproducibility for the ProPS framework (contributed to NeurIPS-accepted research; ProPS outperforms PPO/TRPO on majority of tasks)
SEPT 2025 - JAN 2026

Software Development Intern

AdviNOW Medical, Scottsdale, AZ

Technologies: Django, Celery, RabbitMQ, Neo4j, MongoDB, Flutter iOS, Next.js, TypeScript, REST APIs, Jenkins, ArgoCD, Datadog

  • Built production-grade symptom APIs powering real-time doctor-patient workflows and automated end-to-end ingestion pipeline for Athena EMR health history forms using event-driven architecture with Celery and RabbitMQ
  • Engineered data transformation system mapping Athena form definitions to internal symptom templates using Neo4j DataKeys with full audit trail, versioning, and admin UI for review/approval workflows
  • Refactored monorepo by extracting shared ServerAction and ServerFormAction classes into @advinow/server-actions package, eliminating code duplication and standardizing authentication package exports across Doctor and Conductor apps
  • Developed dynamic form rendering system in Flutter patient app enabling runtime UI generation from JSON configurations, supporting clinic-specific flows without code deployments
  • Achieved 2x faster patient intake flow by implementing REST API integrations, form validation, and iOS-specific features via MethodChannel for cross-platform consistency
MAY 2025 - SEPT 2025

Software Development Analyst

Collaboratory at ASU

Technologies: AWS (AppSync, ECS), GoLang, ReactJS, Docker, Python (LangChain), JSX, RabbitMQ, Jira, PostgreSQL

  • Migrated legacy frontend to React and implemented ADA compliance standards, bringing the platform into accessibility conformance for ASU's user base
  • Developed ProxyAI using GPT-4 API, automating 60% of data entry tasks and leading to a 15% increase in user engagement
  • Engineered APIs and front-end solutions for SSO data management, improving admin workflow efficiency by 40%
  • Built GUI testing suite for the activities section, catching component flow regressions and reducing manual QA effort before releases
  • Implemented AWS AppSync monitoring, reducing subscription incidents by 50% and optimizing API usage
  • Built email log APIs that gave admins direct visibility into customer-reported bugs, replacing manual log searches with structured, queryable records
MAR 2024 - MAY 2025

Capstone Project

AutoBimRoute at ASU

Technologies: Python (Flask, LangChain), FAISS, RAG, ReactJS, Docker, MySQL

  • Developed a Flask-LangChain-based system to fetch and analyze Reddit/X posts for real-time social media insights
  • Implemented a RAG pipeline using FAISS to compare fetched posts with user-stored products, enabling intelligent content matching
  • Integrated ChatGPT and DeepSeek to generate human-like responses for automated engagement
  • Built an automated system to post AI-generated responses back on Reddit/X, streamlining social media management
  • Developed a ReactJS frontend for seamless user interactions and managed MySQL in a Dockerized setup
FEB 2025 - APR 2025

Software Developer II

Hashedin By Deloitte (Contractor at Thomson Reuters US office)

Technologies: AWS (Step Function, CloudWatch, Athena, Glue, Lambda), Python (Boto3, PySpark), PostgreSQL, JFrog, Java (Spring Boot), RabbitMQ, GCP

E-commerce Platform Development:

  • Architected cart and orders microservices using Java Spring Boot and Netflix Eureka, enabling independent scaling and deployment of checkout components
  • Deployed services and databases on GCP with auto-scaling configurations, supporting production e-commerce traffic

Ingest and Publishing for Organization Authority:

  • Optimized Ingest Step Function concurrency for Glue jobs, reducing pipeline execution time and unblocking downstream publishing workflows
  • Built data validation and preprocessing layer that standardized ingested records, preventing malformed data from reaching customer-facing APIs
  • Built Glue jobs generating NAICS, country, SIC, and partition reports for organization data, delivering results to S3-backed customer-facing APIs with automated SNS notifications on completion
  • Increased test coverage from 7% to 80% for the entire GCS publishing repository and identified critical bugs causing publishing Glue job failures
  • Spearheaded implementation of Spark executor logs for all Glue jobs, addressing a long-standing issue adopted across Org Authority Team repositories
  • Engineered organization ID mappings in PostgreSQL via PySpark and extracted the logic into a shared library, adopted across Org Authority team repositories to eliminate duplicate mapping code
  • Led a 4-member team in integrating Dragos on an AWS Outpost server with Greengrass, developing an end-to-end data pipeline for AWS QuickSight reports, utilized as a POC for clients like Shell and Koch
JAN 2022 - JUL 2023

Platform Engineer

WABTEC Corporation

Technologies: Terraform, AWS (EC2, EventBridge, EMR, Athena, Glue, Lambda), Python (Boto3, PySpark), HiveQL, Kafka

Infrastructure as Code Migration:

  • Migrated infrastructure to IaC using Terraform & Chef, enabling features such as spinning up Redshift, EMR & Kubernetes clusters
  • Configured Chef-bootstrapped servers with AWS auto-scaling and load balancing (ALB/ELB), enabling applications to handle variable traffic without manual intervention

Next-Gen Data Lake Architecture (POC - Adopted Org-Wide):

  • Ran Glue crawler and EMR jobs (PySpark and HiveQL queries) to benchmark efficiency on 125 GB data, documenting best practices
  • Executed Glue jobs & Athena queries on schemas created by Glue crawler, establishing patterns for the new setup
  • Increased system availability by automating fallback to backup clusters when EMR targets are unhealthy using AWS Lambda, Network-LB, and Boto3
  • Created an email-based notification service on serverless architecture (Lambda, EventBridge, SNS) to notify teams when EMR clusters terminate and backup clusters activate
JAN 2021 - JAN 2022

Software Engineering Intern

R Systems International, Noida

Technologies: Python (Django), MySQL, JavaScript, Bootstrap 5

  • Developed Report Manager - a web application to automate ticket-approval records, eliminating manual Excel sheet management and enabling on-demand Excel/PDF/ZIP file generation
  • Created Bitlocker - an inventory management app tracking company assets assigned to employees
MAY 2019 - JUL 2019

Software Engineering Intern

Riders Easyrath, Gurgaon

Technologies: ElectronJS, Bootstrap 5, SQL/WebSQL

  • Created front-end and Windows executable (ElectronJS) for POS (Point Of Sale) website
  • Implemented state management using client-side cookies (WebSQL, JavaScript) with offline data storage and automatic database sync when users come online
JUN 2020 - JUL 2020

Software Engineering Intern

Cogmac Industries, Noida

Technologies: Python (BeautifulSoup4), VueJS, HTML/CSS

  • Created web scraping tools for data extraction and management
  • Developed login/signup pages and automated file download functionality
  • Implemented Java heap management tools for optimized performance
MAY 2018 - JUL 2018

Education

Arizona State University, Tempe

Master of Science
Software Engineering

GPA: 3.8/4.0

August 2023 - May 2025

Manipal Institute of Technology, Manipal

Bachelor of Technology
Computer Science and Communication

CGPA: 8.30/10.0

July 2017 - August 2021

Technical Skills

Programming Languages & Frameworks
Cloud & Infrastructure
AWS EC2 ECS Lambda Step Functions AppSync Glue Athena EMR CloudWatch S3 SNS EventBridge
GCP Compute Engine Cloud Functions Cloud Storage
Infrastructure Terraform Docker Kubernetes Chef CI/CD
Databases & Tools
Databases PostgreSQL MySQL MongoDB Neo4j FAISS
Tools & Frameworks Git Jira RabbitMQ Kafka Celery PySpark HiveQL LangChain GPT-4 API Jenkins ArgoCD Datadog Flutter Next.js TypeScript
Core Competencies
  • Full-Stack Development (Frontend & Backend)
  • Microservices Architecture & API Design
  • Cloud-Native Application Development
  • AI/ML Integration (RAG, LangChain, LLMs)
  • Infrastructure as Code (Terraform)
  • Big Data Processing (PySpark, Glue, EMR)
  • Test-Driven Development & Code Quality
  • Agile/Scrum Methodologies
  • Event-Driven Architecture & Microservices
  • Mobile Development (Flutter, iOS/Android)
  • Monorepo Management & Package Architecture

Projects

Data Visualization: Nutritional Impact of Fad Diets

Machine Learning & Data Analysis

Developed a Python-based machine learning model using Ridge Regression to analyze and predict calorie content in dishes, classify them into appropriate fad diets, and identify potential nutritional deficiencies. Implemented data-driven visualizations, including calories vs. carbs and FDA-recommended vs. actual daily vitamin intake, providing insights into diet trends and health impacts.

Course Project, Sept 2024

Unity Game: Midnight Maneuver

Game Development

Developed a taxi simulation game where players navigate the city to pick up and drop off passengers while racing against time. Implemented reckless driving detection that triggers police chases, along with evasion mechanics, health management, and power-ups for strategic gameplay.

Course Project, Nov 2024

Spring Boot App: ScrumPlay

Agile Project Management Simulator

Developed ScrumPlay, a team-based Scrum simulator using Spring MVC and Java Swing. Mimicking a Microsoft Azure environment, users engage in sprints, scrum calls, and sprint planning meetings, allowing dynamic modifications to user stories. The application fosters collaborative project management, generating insightful burndown charts post each sprint.

Course Project, Nov 2023

Android App: VirtualDecor

AR-Based E-Commerce

Developed a Java application for buying showpieces using AR (Google AR-Core), allowing users to visualize items in their homes before purchasing. Implemented user profiles using Firestore for data persistence.

Course Project, May 2020

Data Mining: Machine Learning using Transformers

Neural Machine Translation

Implemented the paper "Attention is all you need" to translate between Hindi and English sentences. Used IIT Bombay English-Hindi Corpus as dataset and created word embeddings using Facebook's fast-text.

Course Project, May 2020

Java Game: Spykey

Computer Vision Game

Developed an object-finding game using template matching (Java OpenCV) where users find given objects in crowded background photos as fast as possible to beat the leaderboard. Implemented MySQL database on AWS EC2 for leaderboard management.

Course Project, Oct 2019

C# App: Manipal Tourism Information System

Tour Management System

Developed a tour management tool where users can view interesting destinations on maps, book hotels, leave reviews, book tour guides and tour packages. Built using Oracle SQL database and C# for front and back end.

Course Project, Oct 2019

iOS App: Allergy Card

Healthcare Application

Developed an iOS app (Swift) allowing first responders to access user allergy details and information (Firestore database) in emergencies via ID stored on NFC card (CoreNFC). Android users are directed to a webpage (AngularJS).

Course Project, Oct 2019

Web App: KnowDisaster

Disaster Management System

Led a team of 3 to develop a web application to predict flood occurrence, notify users & emergency contacts, and show nearest relief camp locations. Built using VueJS, MongoDB for user profiles, WebSQL for geo-location queries, HeatmapJS and Google Maps API for location heatmaps, and AccuWeather APIs for weather data.

Microsoft CodeFunDo Submission, Oct 2018

Robotics: R.U.G.V.E.D

Autonomous Vehicle - IGVC Competition

Member of AI subsystem working on simulations & lane detection for RUGVED Systems, a student team designing autonomous robots with cutting-edge artificial intelligence.

  • Simulated IGVC ground and RUGVED autonomous vehicle using ROS design engine, Gazebo, ran simulations using actual vehicle measurements to test trajectory using 3D visualization tool RViz
  • Wrote code for Lane Detection by filtering camera feed on RUGVED using Python OpenCV
IGVC, Oakland University, Jun 2018

CLI App: T-Mail

Terminal-Based Messaging

Developed a CLI application using sockets that sends messages to users authenticated via their Git accounts over terminal.

Feb 2018 - March 2018

Interests

Apart from being a software developer, I am a fitness enthusiast and was active in various college marathons. I enjoy traveling and play guitar as a creative hobby, having performed multiple times in company fun and chill meetings for audiences of 100+. I enjoy watching and playing football and was active in college football and basketball leagues. I was responsible for the event category called Proshow in college fest 2019, which was a sold-out show. I anchored various events in college fests as well as hosted multiple events in my company. I like to read fiction and non-fiction during my free time.

Achievements

  • Played key role in hiring new talent to Deloitte by conducting interviews
  • Won cash prize for anchoring events at Deloitte
  • Received Excellence Award at Hashedin by Deloitte
  • Convinced WABTEC IT team to switch to Terraform for infrastructure automation
  • Bronze medal in college 10K marathon
  • Successfully organized a college fest with sold-out ticket sales
  • Semi-finals in college basketball league
  • Bronze medal in high school chess tournament