Forward Deployed AI & Systems

FORWARD
DEPLOYED
ENGINEER

Hi! I'm Alan Cyril. A Forward Deployed Engineer (FDE) and Systems Architect specializing in production AI systems, air-gapped multimodal intelligence, high-throughput backend microservices, and client-embedded engineering delivery.

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FDE-TELEMETRY // V2.4

READY

ROLE PROFILE:FORWARD DEPLOYED ENG

CORE FOCUS:AIR-GAPPED AI & SYSTEMS

COMPUTE STACK:CUDA · PYTORCH · FASTAPI

ALGORITHMIC BAR:DSA LECTURER (UNIV.)

10+

Yrs STEM

15+

Deployments

56+

Repos

>EXEC: deploy_mission_critical_ai()

I operate at the convergence of deep AI research and frontline systems engineering — building, accelerating, and forward-deploying resilient intelligent systems where it matters most.

Forward Deployed Engineering · Systems & Applied AI

HI, I'M ALAN CYRIL.

FDE · AI Systems Architect · Assistant Professor

I'm a Forward Deployed Engineer (FDE), Systems Architect, and Assistant Professor of Computer Science. I specialize in taking cutting-edge AI from research prototypes into mission-critical production environments — architecting air-gapped multimodal RAG pipelines, CUDA-accelerated inference runners, and high-concurrency microservices.

With an MSc in Computer Science (Data Analytics), a foundational degree in Chemistry, and university-level instruction in Data Structures and Algorithms (DSA), I combine deep mathematical rigor with hands-on systems engineering instincts.

Whether embedding directly with enterprise stakeholders to solve ambiguous deployment bottlenecks, optimizing GPU compute footprints, or authoring open-source systems under dragonpilee, I build software designed for uncompromising reliability, throughput, and scale.

01 / Frontline Deployment

Mission-Critical Delivery

Embedding directly with clients to translate complex operational challenges into containerized, production-ready AI services.

02 / Hardware & Inference

CUDA & Offline Systems

Accelerating local multimodal models, optimizing VRAM allocation, and building 100% air-gapped systems with zero external telemetry.

03 / Algorithmic Rigor

DSA & Systems Foundations

University lecturer in Data Structures & Algorithms with 10+ years mentoring engineers in computational complexity and systems architecture.

DEPLOYMENT DISCIPLINE:AIR-GAPPED, ON-PREM & EDGE CLUSTERS

ZERO CLOUD TELEMETRY•SUB-SECOND VECTOR SEARCH•100% CONTAINERIZED BUILDS

Technical Stack & Systems

INFRASTRUCTURE MATRIX // ENTERPRISE READINESS

CUDA COMPUTE: ACCELERATED•ORCHESTRATION: DOCKER CONTAINERIZED•AIR-GAP: VERIFIED

Applied AI & Systems

LLMs, RAG, CUDA & Model Serving

Python

PyTorch

CUDA

FastAPI

Docker

TensorFlow

Full-Stack Delivery

Production TypeScript, React, Next.js & Node.js

Next.js

TypeScript

React

Node.js

Tailwind CSS

Distributed Data

PostgreSQL, MongoDB, MySQL & Vector Indexing

PostgreSQL

Redis

MongoDB

MySQL

Prisma

Cloud & Infrastructure

Docker Containers, AWS, Linux & CI/CD Pipelines

AWS

Docker

Kubernetes

Linux

Git

GitHub

Experience & Deployments

TOMS College of Engineering & Polytechnic · Full-time

Assistant Professor

Jul 2026 - Present · On-site

Department of Computer Science and Engineering

Teaching Data Structures and Algorithms to undergraduate engineering students.
Preparing lecture notes, lab exercises, and assessments.
Mentoring student projects in software development and AI.
Supporting curriculum delivery and academic activities.

Data StructuresAlgorithmsInternet of Things (IoT)Artificial Intelligence (AI)

Open Source · Part-time

Open Source Contributor

Jan 2018 - Present · Remote

Design and maintain open-source AI infrastructure, developer tooling, and GPU computing projects.
Build experimental LLM frameworks, inference utilities, RAG pipelines, AI agents, and distributed backend systems.
Develop reusable AI engineering components focused on production deployment, scalability, and GPU optimization.
Explore CUDA acceleration, inference optimization, distributed architectures, and modern AI deployment techniques.

DockerArtificial Intelligence (AI)CUDALLMsRAG PipelinesGPU OptimizationDistributed SystemsPython

Home Tuition Pala · Part-time

STEAM Educator & Mentor

Jan 2014 - Present · Hybrid

Mentored students in programming, computational thinking, mathematics, and software engineering.
Conducted practical workshops covering Python, algorithms, data structures, and project-based software development.
Guided learners from beginner to undergraduate level while emphasizing problem solving and engineering best practices.
Developed structured learning materials and technical mentoring programs spanning more than a decade.

Machine LearningMathematicsPythonAlgorithmsData StructuresSoftware EngineeringComputational ThinkingMentorship

Upwork · Freelance

AI/ML Engineer

Aug 2024 - Jul 2026 · Remote

Develop AI and machine learning applications using Python, PyTorch, and modern AI frameworks.
Build LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and FastAPI backend services.
Implement REST APIs, automation tools, and scalable backend solutions for AI workflows.
Collaborate with clients to deliver software solutions while following professional software engineering practices.

PythonMachine LearningPyTorchFastAPIRAG Pipelines

Pegasus Group of Institutions · Part-time

STEM Educator

Jul 2014 - Jul 2026 · Hybrid

Teach and mentor students in computer science and relevant academic subjects.
Explain technical concepts and programming fundamentals through structured lessons and practical exercises.
Support students in developing logical reasoning and problem-solving skills.

Computer ScienceProgramming FundamentalsLogical ReasoningMentorship

TENZOTECH · Full-time

Junior Python Developer

Feb 2024 - Aug 2024 · Remote

Gained practical exposure to Python development workflows and software development practices.
Participated in job-related technical training.
Strengthened understanding of Python programming concepts and their practical applications.
Developed problem-solving skills through exposure to software development requirements.

PythonSoftware DevelopmentProblem SolvingTechnical Training

Fiverr · Full-time

Android Developer

Aug 2018 - May 2022 · Hybrid

Developed Android applications using Kotlin and Java, following MVVM architecture and Android development best practices.
Designed responsive user interfaces and integrated REST APIs, local databases, and third-party libraries to deliver seamless user experiences.
Implemented application features using Android Jetpack components, including ViewModel, LiveData, Room, and Navigation.
Optimized application performance, fixed bugs, and collaborated using Git throughout the software development lifecycle.

KotlinJavaAndroid JetpackMVVM ArchitectureREST APIsGit