experience

tech fellow · remote

• ·earned a spot as 1 of 250 fellows from 1,500 applicants for a 10-week mentorship with a Google software engineer on data structures, algorithms, and technical interviews
• ·building data-intensive infrastructure in Rust and C++ alongside Google SWE Parneet Kaur

systems administrator · vice president · swarthmore, pa

• ·run production infrastructure for a 1,600-student campus at 99% uptime: a 128-thread, 503 GiB Proxmox hypervisor with 15 VMs and a 94-container Docker Swarm behind Traefik, with Keycloak SSO in front of everything
• ·serve an RTX 6000 Pro (96 GB) and an RTX 5090 (32 GB) to 40+ professors and students for research, vLLM inference, and 3D rendering; 70 TB of ZFS with Proxmox Backup Server, Prometheus/Grafana, and CrowdSec
• ·as vice president, lead the largest and best-funded student tech org on campus (100+ members): member project teams, a $15,000/semester budget, recruitment, events, and operations

lead swe & pm · swarthmore, pa

• ·ship a campus-wide LLM assistant by fine-tuning and serving Qwen3 35B-A3B (MoE, 3B active params) on vLLM with tensor parallelism across 5 GPUs / 165GB VRAM
• ·hold inference latency low under concurrent campus load via continuous batching behind an OpenAI-compatible API
• ·ground answers in campus data with a RAG pipeline over course catalogs and student handbooks
• ·own the product roadmap and feature prioritization as PM

tech fellow (sp26 cohort) · remote

• ·selected to the tech track of a competitive fellowship (sub-8% acceptance) focused on engineering skills and technical career prep
• ·improved how HeadStart manages its network by building a graph CRUD system with Go, gRPC, Neo4j, and a TypeScript frontend
• ·sharpened engineering and professional skills through mentorship and direct engagement with corporate partners

algorithmic research · remote

• ·researched the NP-hard Graph Bandwidth Problem on a 100% scholarship with prof. David Perkins
• ·beat GRASP, simulated annealing, genetic algorithms, and ICA by ~20% with a novel genetic algorithm using wave function collapse (NGA-WFC)
• ·published as an Outstanding Research Paper in the Pioneer Journal (top 1.3% of submissions)

founder & ceo · kazakhstan

• ·secured $30,000+ from Samsung Innovations, UNESCO Startups, and Kazakhstan's Ministry of Ecology to tackle large-scale bee population decline
• ·grew to 300+ active beekeepers with a data-driven dashboard in React, TypeScript, Next.js, and MongoDB
• ·delivered real-time hive-health predictions with an ML pipeline over 500,000+ datapoints — Confluent Kafka, LightGBM, MQTT, TimescaleDB, FastAPI
• ·reached $1,000 MRR with a live apiary-recommendation system over LoRaWAN powered by a fine-tuned Mistral-7B-Instruct-v0.3