Available for Internship Opportunities

Mihai Lache

Software Engineer | AI & Data Systems

Master's student in AI and Data Science building practical software systems across data engineering, cloud infrastructure, and full-stack products.

Work Authorization

U.S. & EU

Education

MSc expected 2028

Mihai Lache
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About Me

I'm a software engineer and MSc student in Artificial Intelligence and Data Science at Leiden University. I build data-driven software across backend services, cloud infrastructure, and full-stack products.

I work across backend services, data pipelines, and product interfaces, focusing on software that makes complex workflows easier for people to use. I’m particularly drawn to the space where software engineering, data, and intelligent automation come together.

Leiden University

MSc Artificial Intelligence and Data Science

Expected 2028

UC Santa Cruz

BS Computer Science

2021 - 2025

University of Tokyo

Study Abroad Computer Science Program

2023

Work Experience

YourAutomation

Co-Founding Software Engineer

Jul 2025 - Present
  • Co-founded a multi-tenant SaaS platform for 8+ wholesale businesses, with backend services processing 2,000+ product deals daily.
  • Built Python/FastAPI services that transform unstructured Telegram and WhatsApp data into normalized datasets for evaluation, routing, and customer-specific workflows.
  • Developed a Next.js dashboard, Telegram Mini App, Chrome extension, and backend APIs for customer workflows and internal operations.
  • Reduced third-party API costs by 40% through caching, request deduplication, and reusable pricing pipelines.
PythonFastAPINext.js

Avid Bioservices

Software Engineer Intern

Jun 2024 - Aug 2024
  • Engineered a Python automation framework for software inventory, patch compliance, and system configuration validation, reducing manual compliance validation by 90%.
  • Designed Python ETL pipelines that integrated laboratory instrument outputs and internal REST APIs into PostgreSQL for analytics and reporting.
  • Designed and deployed Apache Airflow DAGs on AWS EC2 with scheduling, dependency management, retries, and pipeline monitoring.
PythonPostgreSQLApache AirflowAWS EC2
Selected Work

My Projects

AI / Platform

AI

RepoMind AI

Helps developers trace architecture-level answers back to source code by indexing GitHub repositories and returning citation-grounded responses.

FastAPIReactTypeScriptPostgreSQLpgvector

Full Stack

Live

FleetLink

Gives fleet teams one operational view of tracking, interactive maps, and dashboards for faster day-to-day decisions.

ReactTypeScriptSupabaseMapboxThree.js

AI / Data

ML

AI Stock Market ML Pipeline

Produces auditable Buy/Hold/Sell experiments by taking market data from ingestion and feature engineering through tuning, sentiment analysis, and backtesting.

PythonLightGBMXGBoostOptunaNLP

Distributed Systems

Systems

Flask Causal Key-Value Store

Keeps replicated data causally consistent with vector clocks, replica synchronization, anti-entropy, and health checks.

PythonFlaskVector ClocksReplicationREST

Systems

Systems

Multi-Threaded HTTP Server

Serves concurrent GET and PUT requests safely through configurable worker threads, a thread-safe queue, and reader-writer locks.

CPOSIXThreadsHTTP/1.1Locks

Security

Security

RSA Encryption Suite

Provides a command-line workflow for generating RSA keys and encrypting or decrypting files using tested modular-arithmetic primitives.

CRSAMiller-RabinCLICryptography

Core Technologies

Languages

PythonTypeScriptSQLJavaC/C++

Frameworks & Libraries

FastAPIReactNext.jsFlaskNode.js

Tools & Platforms

AWSDockerPostgreSQLAirflowCI/CD