Available · New York, USA

Clely
Fernandes

Full-Stack Engineer · AI Agentic Systems · 0→1 Builder

MS Computer Science @ NYU Tandon. Specializing in LLM orchestration, autonomous agent workflows, and scalable Python backends. Obsessed with shipping high-impact products at rocketship pace.

3.5GPA / 4.0
90%Test Coverage
25%Retention Lift
40%Engagement ↑
Active Development · Feb 2026 – Present
View on GitHub ↗
Multi-Agent Negotiation System
iMessage Extension · Python 65.5% · Swift 34.5%
An iMessage extension powered by multi-agent AI that eliminates back-and-forth scheduling. Specialized agents negotiate available time slots between participants and reach a consensus in seconds — all without leaving the conversation.
Meeting Scheduler UI inside iMessage
Scheduler UI · iMessage
Filled form - Team Standup
Team Standup · 60min
SwiftUI FastAPI LangChain iMessage Extension Kit PostgreSQL · Supabase Python Multi-Agent State Machine REST APIs
75%
80%
65%
Feb 2026 → Present
Multi-Agent Negotiation System
iMessage Extension · SwiftUI + FastAPI + LLM Orchestration
  • Orchestration layers enabling specialized agents to collaborate and debate
  • Semantic infrastructure with PostgreSQL + Supabase for persistent agent memory
  • Automated governance via state-tracking to constrain autonomous agents
SwiftUIFastAPISupabasePython
Sept 2024 → Dec 2024
NYT Trend Analytics Dashboard
25-Year Study · Python + D3.js + DistilBERT
  • High-throughput backend with multiprocessing handling millions of data operations
  • DistilBERT (Hugging Face) for NLP-driven trend extraction from news archives
  • Modular D3.js dashboard abstracting complexity for non-technical stakeholders
PythonD3.jsDistilBERTBootstrapKaggle API
Sept 2022 → Feb 2023
Aryton — Cross-Platform Fitness App
0→1 Mobile Product · Full-Stack Development
  • Led 0-to-1 development from ambiguous stakeholder vision to production-ready product
  • Implemented secure OAuth flows and RESTful API layers for high-volume user growth
  • Iterated on user friction, improving retention by 25%
React NativeNode.jsOAuthREST API
Nov 2022
IoT Smart Shopping — Publication
Research · RFID + Arduino + Sensor Systems
  • Architected RFID + sensor hardware-software interface for automated inventory logistics
  • Synchronized resource management for concurrent data streams from multiple hardware inputs
ArduinoIoTRFIDC++
Software Developer Intern
Jan 2026 → Present
Tiny Archives · Remote
  • Contributing to end-to-end product development on ArchiveOS, owning scoped features across full-stack, database, and CI/CD layers
  • Designing scalable RBAC and multi-tenant access models to support complex global user hierarchies and strict data isolation requirements
  • Optimizing backend query performance and architecting export pipelines across EAD, PDF, CSV, and Markdown formats
  • Shipping production-ready code via GitHub Actions CI/CD into AWS ECS/ECR infrastructure with Docker containerization
Adobe Student Ambassador
Jul 2025 → Present
Adobe · Remote
  • Collaborated with engineers to translate user friction into technical requirements for API discoverability
  • Provided data-driven feedback aligning product capabilities with high-quality user experience missions
VP Program Coordinator
May 2025 → Present
TechSHRM · NYU Tandon
  • Led 10-member delegation to Wharton People Analytics Conference; engaged DJ Patil (former U.S. Chief Data Scientist) on AI governance
  • Redesigned community roadmap using engagement metrics → 40% participation increase across 50-member technical community
Mobile Application Developer
Sept 2022 → Feb 2023
Aryton - Fitness Business · Remote
  • Led 0-to-1 development of a cross-platform fitness application end-to-end
  • Owned entire backend stack with secure OAuth flows and RESTful APIs for high-volume growth
  • Improved user retention by 25% through rapid iteration on user friction points

Backend & AI

Python / FastAPI95%
LLM Orchestration85%
PostgreSQL / Supabase80%
RAG / Vector DBs75%

Frontend & Mobile

React / JavaScript85%
SwiftUI70%
D3.js / Visualization78%
HTML / CSS90%

Infrastructure

Docker / Kubernetes72%
AWS68%
CI/CD Pipelines75%
Node.js / Express80%

Languages

Python95%
JavaScript / TypeScript85%
Java75%
C / C++ / Swift65%
M.S. Computer Science
New York University — Tandon School of Engineering
Aug 2024 – May 2026 · New York, NY
Software Engineering Application Security Algorithms Artificial Intelligence
3.5 GPA
📄
Predicting the Tomato Plant Disease Using Deep Learning Techniques
Springer · Jan 2022 – Feb 2023
Developed a VGG16-based CNN achieving 99.7% accuracy in visual pattern recognition. Engineered pipelines for unstructured data processing applicable to automated medical document and fax parsing at scale.
📄
IoT Enabled Sustainable Solution for Smart Shopping Experience
Published November 2022
Architected a hardware-software interface using RFID and sensors to automate inventory logistics, bridging physical data with digital control logic. Implemented synchronized resource management for concurrent data streams from multiple hardware inputs.

Let's Build Something.

Open to full-time roles, internships, and ambitious 0→1 projects.

clelyfernandes@outlook.com →

← clely19 on GitHub · Built with intent, not a template →