MOD_01
PROGRAMMING
System logic, high-concurrency mobile services, and embedded firmware.
AVAILABLE FOR HIGH-IMPACT ROLES & SYSTEMS
11.2588° N, 75.7804° E
CALICUT // IN
BUILDING PRACTICAL v4.0 SOFTWARE that works.
Software engineering undergraduate bridging Android, AI/ML, IoT, and embedded systems. I turn complex logic into reliable, high-performance, real-world applications.
CORE_SYSTEMS // ACTIVE
PRIMARY_STACK
KOTLIN / PYTHON / C++
FOCUS_DOMAINS
ON-DEVICE ML · EMBEDDED · APPS
SYS_HEALTH
100% OPERATIONAL
01 // OVERVIEW
ENGINEERING PHILOSOPHY
I build systems where software intersects with real hardware, real data, and real users.
Rather than stopping at disconnected prototypes, I take concepts all the way from problem discovery to robust deployed systems. With a solid foundation in computer hardware engineering and computer science, I connect high-level application logic with low-level device constraints.
01
Understand Constraints First
Real hardware limits and latency matter more than fragile shortcuts.
02
Full-Chain Integration
Seamlessly fusing sensor inputs, ML inferencing, and responsive mobile UI.
03
Iterate Under Load
Stress-testing with real usage to refine stability and ergonomics.
TELEMETRY SPECS
DEGREE
B.Tech in CSE (2027)
DIPLOMA
Hardware Eng. (8.52 CGPA)
LEADERSHIP
Tech Lead @ IEDC KMCT
SPECIALTY
On-Device AI & Embedded
02 // CAPABILITIES
TECH MATRIX & TOOLKIT
Production tools engineered for real-world software, on-device intelligence, and embedded hardware.
MOD_02
MACHINE LEARNING
On-device edge inference, model quantisation, and predictive classification.
MOD_03
MOBILE & PLATFORMS
Android ecosystem development, native workflows, and Linux toolchains.
03 // SELECTED WORK
PROJECTS IN THE FIELD
Tested and functional software systems built with production architectures.
Digital Behaviors
A high-privacy Android mobile application analyzing background device-use metrics and converting daily screen telemetry into actionable behavioral insights.
↳
TFLite-based on-device machine learning with zero server telemetry leaks.
↳
Asynchronous pattern recognition tracking focus cycles & usage volatility.
BEHAVIOR_OS
LIVE
FOCUS_SCORE
78%
OPTIMAL COGNITIVE RANGE
SCREEN TIME
4H 18M
UNLOCKS
34 CYCLES
Smart Waste Bin
IoT automated segregation system using ultrasonic & inductive sensors with microcontroller control logic for real-time sorting.
E-KART Platform
Smart store inventory manager with real-time stock routing, price comparison indexing, and dynamic customer recommendations.
04 // EXP LOG
ENGINEERING TIMELINE
Roles, leadership positions, and applied engineering internships.
2026 // ACTIVE
LEADERSHIP
Technology Lead @ IEDC, KMCT
PROTOTYPING & DELIVERYGuiding student hardware & software prototypes, shaping architectural choices, and taking ambitious ideas from napkin drawings to working builds.
SEP — NOV 2024
INTERNSHIP
Machine Learning Intern @ Yhills
DATA & MODELSBuilt and benchmarked Python-driven machine learning pipelines, preprocessing tabular data sets and optimizing model accuracy across experimental iterations.
MAY 2023
INTERNSHIP
Python Automation Intern @ Propulsion System
AUTOMATIONAutomated repetitive backend workflows and file parsing routines with custom Python scripts, eliminating manual human overhead and failure points.
05 // FOUNDATION
ACADEMICS & CERTS
2024 — 2027
B.Tech in Computer Science & Engineering
KMCT College of Engineering
7.5
CGPA
2021 — 2024
Diploma in Computer Hardware Engineering
KMCT Polytechnic College
8.52
CGPA
2023
Diploma in Computer Application (DCA)
SCOLE Kerala
+
PASS
CISCO NETWORKING ACADEMY
Ethical Hacking ↗
VALIDATED
NIT CALICUT
Generative AI Engineering
VALIDATED
OFFENSE HACKER ACADEMY
Hacker Toolkit & Security
VALIDATED
06 // INITIATE TRANSMISSION