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AI SYSTEMS ARCHITECT & PRODUCT R&D
Zonaid H_
© 2026
I bridge the gap between complex multimodal AI pipelines and high-throughput, cloud-native backend infrastructures. Currently serving in a dual technical-executive capacity as a corporate supervisor and head of international product research, directing specialized algorithm development and global go-to-market architecture for AI-driven media systems.
SELECTED WORKS
0M
jobs/day
0%
overhead reduction
0
failed (SLA)
System Architecture
Redis Streams→Worker Node 1
DLQ←Worker Node 2…N
Redis⧉
ZADD queue <now> <jobId>
ZREMRANGEBYSCORE queue 0 <now-window>
// sliding-window rate limit0%
success rate
0-dim
observation vector
0ms
O(1) execution
PPO Network
42-dim Obs→Policy Net (PPO)→[vx,vy,vz]
Welford Norm↑Adapter Pattern
Success Rate68.8%
A* Bound85%
Zero-shot47.6%
Python⧉
class UAVEnv(gym.Env):
def step(self, action):
self.drone.apply_velocity(action)
return obs, reward, done, {}0%
transaction accuracy
0
race conditions
Event-Sourced Architecture
Client→API Gateway→Event Store
Cmd Handler→Aggregate Root→PostgreSQL
Read Model→Materialized Views
Java⧉
class LedgerEntry {
final UUID entryId;
final BigDecimal amount;
final Instant timestamp;
// immutable, no setters
}0M
jobs/day
0%
overhead reduction
0
failed (SLA)
System Architecture
Redis Streams→Worker Node 1
DLQ←Worker Node 2…N
Redis⧉
ZADD queue <now> <jobId>
ZREMRANGEBYSCORE queue 0 <now-window>
// sliding-window rate limit0%
success rate
0-dim
observation vector
0ms
O(1) execution
PPO Network
42-dim Obs→Policy Net (PPO)→[vx,vy,vz]
Welford Norm↑Adapter Pattern
Success Rate68.8%
A* Bound85%
Zero-shot47.6%
Python⧉
class UAVEnv(gym.Env):
def step(self, action):
self.drone.apply_velocity(action)
return obs, reward, done, {}0%
transaction accuracy
0
race conditions
Event-Sourced Architecture
Client→API Gateway→Event Store
Cmd Handler→Aggregate Root→PostgreSQL
Read Model→Materialized Views
Java⧉
class LedgerEntry {
final UUID entryId;
final BigDecimal amount;
final Instant timestamp;
// immutable, no setters
}
ABOUT ME
I'm a software engineer crafting robust, scalable, and innovative digital solutions that empower businesses to achieve their goals through technology.
- Work Experience
-
AIMEDIAREST — Head of AI Product R&D & Systems Engineer
01/2026 - Present
Headed specialized R&D initiatives to develop end-to-end multimodal AI pipelines for visual scene parsing, highlight detection, transcription, and automated post-production creator workflows.
Research, design, and technically scale localized generative AI media applications tailored specifically for Western and global consumer markets.
Abstracted complex media processing by architecting an object-oriented Python "Editorial Engine" framework to automate 15+ post-production workflows.
Managed containerized service distributions on AWS and GCP cloud infrastructure utilizing Kubernetes and Docker environments to optimize real-time inference queues. -
SUN CAPER DATA — Big Data Analyst Intern (ML & Automation)
01/2025 - 06/2025
Processed and normalized more than 10M dense data logs across historical pipelines to isolate predictive signals, boosting target ML model accuracy by 12%.
Optimized large-scale SQL query execution speed by 30% and automated legacy scheduled ETL pipelines, cutting manual maintenance engineering overhead by 50%. -
MAESINFO — Software Engineer (Systems & Observability)
02/2024 - 08/2024
Built a transactional payment gateway microservice using Java and Spring Boot, increasing platform throughput by 35% and dropping latency by 140ms.
Enhanced API system reliability by 25% through the implementation of defensive validation layers and fault-tolerant processing workflows using gRPC.
Improved system incident response intervals by 40% through the composition of centralized Grafana and Kibana observability dashboards alongside unified JSON logging.
//
1M+
Daily Active Message Capacity
//
20K+
Daily Core Transactions Secured
//
35%
Backend Throughput Acceleration
TECH STACK
AI & Simulation
PyTorch
Stable-Baselines3
Gymnasium API
PPO
DQN
Multi-Seed Evaluation
Backend & Systems
Java
Go
Python
C++
Spring Boot
Microservices Architecture
gRPC
REST APIs
Cloud & Infrastructure
Kubernetes
Docker
AWS
GCP
Terraform
Linux System Administration
Data & Streaming
PostgreSQL
Cassandra
MongoDB
Redis
Apache Kafka
RabbitMQ
TECHNICAL RECOMMENDATIONS
“Zonaid consistently demonstrated exceptional problem-solving skills in
designing and implementing high‑performance distributed systems. His work on the task‑queue
optimization resulted in measurable performance improvements that directly impacted our
service reliability.”
“Outstanding technical leadership on the compliance ledger project. Zonaid’s
deep understanding of distributed systems and attention to architectural details ensured we
built a robust, scalable solution that met our strict audit requirements.”
OPEN TO WORK
Open to Backend & Cloud-Native Roles
Actively seeking roles and contracts that focus on distributed systems, platform reliability, and GenAI integrations. Available for remote or relocation.
Frequently
asked questions
01
How long does a project usually take?
Most projects are completed within 4–8 weeks, depending on complexity, revisions, and scope. I’ll always provide a clear timeline before starting.
02
Do you work with international clients?
Yes, I collaborate with clients worldwide using online meetings, project management tools, and shared design platforms to ensure smooth communication.
03
Can you help with both design and development?
Absolutely. I handle branding, UI/UX design, and no-code or coded development to deliver a complete end-to-end solution.
04
What’s your payment process?
I typically require a 50% deposit to begin work, with the remaining balance due upon project completion and approval.
05
Do you provide ongoing support after launch?
Yes. I offer maintenance, updates, and performance monitoring packages to keep your website or product running smoothly long-term.