01 — Foundation
Software engineering
iOS applications, architecture, networking, real‑time communication and secure application development.
Engineering Leader · AI · Robotics · IoT · Mobile · Security
Sadman Sakib Saumik
Building IntelligentSystems.
From software to robotics.
I started as an iOS engineer, building a foundation in application architecture, networking, real‑time communication protocols and security. Alongside that career, a robotics practice that began with Mars rovers grew into autonomous systems, drones and connected devices. Today I lead engineering across AI, robotics and IoT — where software, intelligence and machines meet.
Engineering Lead — AI, Robotics & IoT
Assistant Principal Software Engineer
Brotecs Technologies
saumik.net
Profile
A software engineer at the foundation. A technology leader by scope.
The through‑line is not a job title. It is a habit of going one layer deeper than the problem requires — into the protocol, into the sensor, into the system that holds it all together.
02 — Parallel track
Robotics, since university
Mars rover development, international rover competitions, autonomous systems and drone technologies.
03 — Today
Intelligent systems
Engineering lead for AI, robotics and IoT — AI‑assisted engineering, computer vision, connected devices, security and solution architecture.
AlsoSoftware EngineeringAutonomous SystemsComputer VisionIoT & Connected DevicesSolution Architecture
Two parallel paths
Robotics was never a detour.
Two engineering tracks ran at the same time — one professional, one that started at university and never stopped. Select any node to read it.
Software
Software path04 / 06
Protocols
Protocol engineering at the layer most application developers never open. SIP for signalling, SDP for description, RTP for media — and IAX2, which carries signalling and media together over one port. Two architectures for the same problem.
SIP · SDP · RTP · IAX2
Robotics
Intelligent Systems
Software foundation
Where it started.
iOS Engineering
My professional engineering journey began with iOS application development, building a foundation in software architecture, networking, real‑time communication and secure application development.
It is a foundation that keeps paying out. A rover that streams telemetry, a device on the end of a serial link and a phone that carries a voice call are, underneath, the same problem: move data reliably across a network that does not cooperate.
2018
First professional role
iOS
Starting platform
Core technologies
Language
Swift
UI
UIKit
UI
SwiftUI
Language
Objective‑C
Transport
Networking
Real‑time
VoIP
Signalling
SIP
Description
SDP
Media
RTP
Signalling + media
IAX2
Device I/O
Serial
Automation
SSH · Telnet
Connected devices
IoT
Discipline
Protocol Engineering
Hardening
Application Security
Real-time communication
Underneath the call.
A voice call looks like one feature. Underneath it is a stack of protocols that must agree with each other in milliseconds — and more than one way to arrange them. Select any block to read it.
DESCRIPTIONLayer 03
SDP
Session Description Protocol, carried inside SIP. It describes what each side can do — codecs, ports, media direction — so both ends agree before a single packet of audio moves.
Application → DeviceIn transit
Hover a block for its explanation · packets pause under reduced motionSIP · SDP · RTP · IAX2
Application security
Engineering below the surface.
Most of an application’s security work is invisible when it succeeds. It lives between the screen and the network, and it is judged only by what never happens.
Application
What the user sees
Security layer
Pinning · Integrity · Certificates
Communication
Secure channels in transit
Infrastructure
Devices, services and where it lands
Practices
SSL Pinning
Root & Jailbreak Detection
Secure Certificate Handling
Secure Communications
Coverity
Black Duck
Static Analysis
Dependency Management
Scan line sweeps the stack once every 6s · paused under reduced motion04 / Security
The through-line
SoftwareAIRoboticsAutonomy
Intelligent Systems.
Artificial intelligence
AI that works inside real systems.
The interesting part was never training a model in isolation. It is what happens when a model has to live inside a production system that people depend on — with its latency, its failure modes and its consequences.
So the work is systems work: integration, dataset handling, deployment, and honest evaluation of whether the thing actually helped.
Where it applies
- AI‑assisted engineering01
- Automated code review02
- Workflow intelligence03
- Computer vision04
- Visual analysis05
- Model integration06
- Dataset workflows07
- Production deployment08
- Task analysis09
- Engineering performance evaluation10
The pipelineSignal activates on section entry
03 — Model
Integration over invention: choosing the model that fits the constraint and wiring it into the system that needs it, at the latency the system can afford.
Robotics & autonomous systems
From Mars rovers to autonomous drones.
My interest in robotics began during university through Mars rover development and competitive rover challenges. That experience evolved into work on autonomous systems and drone technologies.
System anatomy
Robotics timelineUniversity → Autonomy
University
Mars Rover Development
Designing, building and testing a rover for Mars‑analogue terrain — mechanical integration, control and vision in one system.
01 / 05
Utah · USA
University Rover Challenge
Team member at the University Rover Challenge in Utah, USA — a field competition run on terrain chosen for its resemblance to Mars.
02 / 05
Poland
European Rover Challenge
Led Team Mongol Barota to the European Rover Challenge in Poland — leadership under a deadline that does not move.
03 / 05
Autonomous systems
Decisions made by the machine
- Obstacle avoidance
- Autonomous landing
- Intelligent detection
- Simulation
04 / 05
Drones & IoT
Autonomous, connected machines
Where the rover work led: systems that move through three dimensions, decide their own path, and stay reachable over telemetry while they do it.
05 / 05
Rover work teaches what software alone does not: every assumption gets tested in the field, once, in front of people.Rail draws on scroll
Drone technologies
Systems that move.
A drone is an argument about trust. You write the perception, the decision and the control loop, and then you let go of it in open air and find out whether you were right.
Flight Automation
Obstacle Avoidance
Autonomous Landing
Computer Vision
Telemetry & Control
Simulation
Scope note
Practical understanding of drone flight fundamentals and basic aerodynamics alongside autonomous‑system development — enough to reason about the airframe, not a specialisation in aerospace engineering.
Convergence
When software meets the physical world.
Six disciplines that spent years on separate tracks now solve the same problem. A system that sees, connects, decides and acts is not an AI project or a robotics project. It is one system, and it fails at the seams.
Reasoning
AI
Perception
Computer Vision
Measurement
Sensors
Connectivity
IoT
Embodiment
Robotics
Independence
Autonomy
Intelligent Systems
See · Decide · Act
Perception
Vision that reads a scene the way the task requires, not the way a benchmark rewards.
Decision
Autonomy that commits to an action and can account for the input that produced it.
Delivery
Systems that reach the field with the security and architecture to survive being there.
Selected work
Six places the work shows up.
Grouped by the problem rather than the job title. Six kinds of system, one engineering practice underneath them.
01 · Mobile
iOS & Enterprise Applications
Native applications built for enterprise deployment — architecture, networking and secure distribution.
Enterprise iOS applications built from scratch and carried through six years of releases: interface, feature logic, networking and the scalable architecture underneath.
02 · AI
AI‑Assisted Engineering Systems
Workflow intelligence and task analysis applied to how engineering work actually gets done.
Platforms that read source code, analyse tasks and evaluate engineering performance — automated review insight wired into the workflows an organisation already runs on.
03 · Vision
AI‑Based Visual Analysis
Detection and visual analysis pipelines, from dataset workflow through to production inference.
Computer‑vision and image‑analysis pipelines for intelligent automation: model integration, dataset handling and deployment into systems that already have users.
04 · IoT
Connected Device & IoT Automation
Devices, terminals and control systems brought under one programmable interface.
Script‑driven applications built from scratch to automate SSH, Telnet and serial‑based systems — collapsing manual terminal operations into repeatable process execution across connected hardware.
05 · Autonomy
Autonomous Drone Systems
Flight automation with obstacle avoidance, autonomous landing and onboard perception.
Obstacle avoidance, autonomous landing and AI‑assisted detection, developed across simulation environments and proven in field deployment.
06 · Security
Secure Communication Systems
Real‑time communication over SIP, SDP, RTP and IAX2, hardened with pinning and certificate control.
SSL pinning, root and jailbreak detection, and an automatic app‑server certificate update mechanism that keeps applications available without loosening the standard that protects them.
Panels reveal on scroll · hover scales the visualisation, not the card06 projects
Experience
Intern to principal, in one line.
Five roles at one company, intern upwards, no sideways moves. Select any one to open it.
Current role01 / 05
Assistant Principal Software Engineer
Summary
Lead engineering across AI‑driven systems, iOS development, application security, IoT and autonomous technologies. Own system architecture, protocol customisation and secure application development, alongside technical reviews and cross‑functional delivery. Build AI‑assisted platforms for automated code review, task analysis, engineering performance evaluation and computer vision, integrated with the organisation’s own workflows.
Spine draws as the section scrolls · nodes appear on entrySince 2018
Leadership
Engineering is a team sport.
Leading a rover team to a competition deadline and leading an engineering team to a release are closer than they look. Both are about making a group of people agree on what “done” means, early enough to matter.
- 01Engineering Management
- 02Mentoring
- 03Technical Strategy
- 04Cross‑functional Delivery
- 05Agile Project Management
- 06Technical Reviews
- 07Internal Training
Research & education
Before professional engineering, there was research.
The rover work was not a hobby project. It went to two international competitions and produced four peer‑reviewed papers.
Education2017
B.Sc. Engineering
Computer Science & Engineering
Military Institute of Science and Technology (MIST), Dhaka
University Rover ChallengeTeam member at the international university rover competition.
European Rover ChallengeTeam leader — Team Mongol Barota.
Four IEEE publicationsRover systems, autonomous rover design, image steganography and disaster‑response robotics.Two competitions on two continents, judged in the field — reasonable preparation for shipping software.Spine draws on scroll
Publications
Four papers, peer reviewed.
Published through IEEE. Titles, venues and years come from the IEEE Xplore record — every row links to the paper itself.
- 2015MAYA: A fully functional rover designed for the mars surfaceIEEE · 18th International Conference on Computer and Information Technology (ICCIT)01
- 2017Explorer‑0100: An autonomous next generation Mars roverIEEE · 20th International Conference of Computer and Information Technology (ICCIT)02
- 2017A new approach to hide data in color image using LSB steganography techniqueIEEE · 3rd International Conference on Electrical Information and Communication Technology (EICT)03
- 2018Robotic Unit Model Proposal for Rescue & Aiding: For Disasters in BangladeshIEEE · International Conference on Computer, Communication, and Signal Processing (ICCCSP)04
Each row links to the paper on IEEE Xplore04 papers
System map
Nothing here is separate.
Drawn as an architecture diagram, because that is what it is. Select any node to see what it connects to and what it carries.
Physical systemsNode 05
Robotics
Mars rover development, a rover team led to two international competitions, and the autonomous‑systems work that grew out of it.
Connects → Drones · IoT · Computer Vision · Research
SAUMIKEngineering core
Selecting a node highlights its spoke and dims the rest10 nodes