Aseef Durrani

About

Building across hardware, software, and AI.

Software engineer with a B.S. in Electrical and Computer Engineering from Rutgers University. Driven by a mindset that welcomes challenges and seeks discomfort, I build across the full stack — from AI recruiting pipelines and LLM copilots to custom ASIP processors and FINN accelerators on FPGA. My work sits at the intersection of hardware, software, and AI.

Education: B.S. in Electrical and Computer EngineeringSumma Cum Laude · May 2025
Focus: AI systems, full-stack engineering, embedded hardware

Experience

Software, AI, and embedded systems roles across startups and research.

AI Engineer (Intern)

EliteIS

Dec 2025 – Mar 2026 · Remote

Designed and implemented an AI recruiter system in n8n, automating key recruiting workflows including job requirements intake, candidate/client coordination, and conversational interview scheduling across 9 AI agents and 16 workflows.
Migrated initial email ingestion from 1-minute polling to a webhook-based architecture using Google Cloud Pub/Sub and Microsoft Graph subscriptions, reducing average inbound email detection latency by 30x.
Integrated Google Calendar and Microsoft Graph APIs to automate calendar availability checks, slot selection, and meeting creation across Google Meet and Microsoft Teams.

Software Engineer (AI)

Confiz

Apr 2025 – Jun 2025 · Remote

Designed and deployed an end-to-end system to process multi-phase customer journey data, generating monthly cohort metrics and visualizations for 5 brands across 20,000 customers.
Integrated LLMs for automated generation of tooltips and prompt cards from aggregated metrics, mapping outputs to Azure SQL for scalable delivery of customer insights.
Developed an AI-powered Copilot service with FastAPI and Azure AI Foundry, streamlining access to product performance insights and enabling leadership to directly assess product effectiveness.

Software Engineer (AI & Backend Intern)

Mynd

Sep 2024 – Dec 2024 · Remote

Engineered a Python data pipeline to scrape 21,000+ therapist profiles, automating contact discovery and competitor analysis, resulting in a 469% increase in qualified sales leads for the company's mental health platform.
Leveraged AI to automate the creation of intake forms for therapists, streamlining the onboarding process for new clients.
Designed and developed backend endpoints in Django to support AI-driven features, integrating with a tech stack consisting of React, Chakra, and TypeScript on the front end.

Software Engineer (Fellowship)

Headstarter AI

Jul 2024 – Sep 2024 · Remote

Built 5+ AI apps utilizing technologies like Next.js, OpenAI API, Stripe API, Pinecone, Firebase, and Node, culminating in a final project aiming to ship to 1,000+ users.
Developed an interactive holistic health application leveraging RAG architecture to enhance 5 LLMs with contextual knowledge from 35+ curated videos, enabling personalized guidance based on individual needs.

Software Engineer (Full-Stack Intern)

Elavize

Jun 2024 – Jul 2024 · New York, NY

Developed and maintained a full-stack application for job seekers using Next.js, DaisyUI (Tailwind), TypeScript, Node.js, and MongoDB.
Built an internal tool for the team to access and edit the knowledge base directly within the platform, streamlining operations and improving team efficiency.
Engaged in a client-facing role by gathering valuable feedback and insights from potential clients, contributing to platform development while adapting to the fast-paced, dynamic challenges of a startup environment.

Embedded Systems Developer

Rutgers University — Embedded Systems

Spring 2024 · New Brunswick, NJ

Designed and implemented a custom 16-bit ASIP processor in VHDL — multi-cycle control FSM, register file, ALU, dual-port framebuffer, BRAM instruction/data memories, and application-specific UART/VGA I/O — integrated on Digilent Zybo via Vivado IP Integrator.
Developed five custom opcodes and a dedicated arithmetic unit; authored GRISC assembly for an interactive UART-driven demo with VGA color control, block move/resize, pixel readback, and terminal arithmetic.
Validated custom instruction and control FSM behavior through extensive Vivado testbench waveform simulation, then verified end-to-end on Zybo hardware via UART and VGA demo (7,323 LUTs, 4,224 LUTRAM).

Projects

From AI-powered full-stack apps to FPGA accelerators and custom processors.

View my demos on YouTube

Skills

Languages, platforms, and tools across embedded, backend, and AI work.

Languages

C
Embedded C
VHDL
Python
TypeScript
JavaScript

Technologies

FPGA
Embedded Linux
Linux
Zybo Z7
PYNQ-Z1
Next.js
Node.js
Express
Django
Flask
FastAPI
MongoDB
Firebase
PostgreSQL
SQL
Pinecone
Databricks
Pandas
Scikit-learn
Tailwind CSS

Tools / Platforms

Vivado
Vitis
Xilinx
n8n
Cursor
Docker
Git
Kubernetes
Postman
ngrok
Google Cloud Platform (GCP)
AWS
Amazon RDS
Azure
Azure AI Foundry
OpenAI
Claude
LangChain
Clerk
Auth0

Education

Rutgers University

B.S. in Electrical and Computer Engineering

Summa Cum Laude · May 2025

New Brunswick, NJ

Relevant Coursework

Embedded Systems
Embedded Systems 2
Computer Architecture
Principles of Electrical Engineering (1/2)
Data Structures & Algorithms
Software Engineering
Machine Learning
Intro to Deep Learning

Contact

Open to software, AI, and embedded systems opportunities.

aseef.dur@gmail.com

GitHub LinkedIn Email Website

Download Resume View Demos