experience

tech fellow · remote

• ·earned a spot as 1 of 150 fellows from 1,500 applicants (top 10%) 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

system admin & software engineer · swarthmore, pa

• ·keep 2,000+ daily users online across campus infrastructure (course planner, swatgpt, student catalog, club manager) by maintaining the full stack in TypeScript and PostgreSQL
• ·administer a self-hosted Portainer fleet of 31 stacks, 95 containers, and 345 volumes on a 3-node server (512GB RAM, 5 GPUs, 165GB VRAM) with Docker and Linux
• ·keep the platform observable by self-hosting Grafana and managing NFS storage across nodes

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

lead competitive programmer · swarthmore, pa

• ·lead the Swarthmore ICPC club of 20 as the highest-rated member, organizing practices and contests
• ·run weekly training by constructing 5-hour, 8-problem contests with 2-hour editorials for div-2 teams
• ·solved 1,500+ Codeforces problems over 4+ years — expert-level C++ with STL containers, iterators, templates, and custom data structures

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