Software Engineer · R&D enthusiast
I'm a Software Engineer crafting practical, scalable solutions—curious about applying technology beyond code, where it can make a meaningful difference. Part tinkerer, part researcher, I'm driven by curiosity and a growing inclination toward R&D and impactful technology.
What I work on
Bringing together software, connected devices and intelligent systems to solve real-world problems.
Transforming ideas into purposeful software experiences. I enjoy engineering applications that bring together intuitive interfaces, robust backend architectures and seamless system integration. From building full-stack web platforms to developing cross-platform applications, my focus lies in creating software that is not just functional, but meaningful, scalable and built around real-world needs.
Exploring the possibilities of connected and intelligent systems by bringing together hardware, software and data. I enjoy working across microcontrollers, sensors, edge platforms and application interfaces to develop integrated solutions that interact with the real world. My interests lie in building reliable, responsive and resource-efficient systems, with a curiosity for how embedded technologies and connected devices can advance applications across diverse domains, including healthcare.
Making machines perceive, interpret and respond to the world around them. I am fascinated by the possibilities of machine learning and computer vision in solving problems that extend beyond conventional software. From intelligent detection systems to data-driven applications, I enjoy exploring how computational models can translate complex information into meaningful, real-world insights.
Selected work
A selection of projects combining application development, machine learning and connected systems.
01 / ML· IoT · Web App
Transforming environmental monitoring through an intelligent fusion of IoT sensing and visual analysis, designed to identify emerging forest fire threats and strengthen early warning capabilities.
02 / IoT · ML&DL · Mobile App
A connected smart farming platform bringing together IoT, predictive analytics and computer vision to transform agricultural data into actionable insights and intelligent farming solutions.
03 / ML · IoT · Tool
An ML-driven network intrusion detection tool designed to identify Mirai botnet activity within a simulated IoT environment through traffic analysis, threat classification and automated alerting.
Notes from the lab
Learning across disciplines. Building with intent. Following the questions that lead technology towards human impact.
A practice in progress · Engineering to applied research
Where software meets intelligent systems — and engineering begins to meet human needs.
My work has taken me from connected-device projects and application development to automotive R&D, where I contribute to software-defined vehicle initiatives involving ADAS workload integration, edge/HPC platforms, container orchestration and OTA workflows across heterogeneous hardware.
Across these experiences, I keep returning to the same questions: how do we make complex systems more reliable, efficient and useful? I’m now interested in carrying that systems-thinking into medical technology and applied research — especially where intelligent sensing, computer vision and connected systems can support better healthcare tools and experiences.
From intelligent systems to human-centred technology
Lessons from ADAS integration, containerised workloads, heterogeneous hardware and dependable software delivery at the edge.
Exploring the trade-offs between high-level development and native execution, with attention to startup behaviour, resource use and reliable runtime performance.
Bringing sensing, communication, backend services and mobile or web interfaces together into coherent systems that respond to the physical world.
Building a deeper understanding of how software, intelligent sensing and computer vision can contribute to medical technology and human-centred innovation.
A connected way of thinking
Curiosity begins at the core, moves through perception and intelligent systems, and finds its purpose in the real world.
A little about my journey
01 · Foundations
02 · Recognition
Led the Women in Power at IEEE Power & Energy Society student branch in GEC Idukki and headed the WoW 3.0 initiative. Planned and coordinated activities that encouraged women’s participation in engineering and technology, building leadership, teamwork and event-management experience.
03 · Exploration
Selected as one of 16 fellows for a research initiative focused on Smart Farming, receiving a research grant of ₹49,000.
04 · In the field
Building core software infrastructure for Software-Defined Vehicles (SDVs), spanning ADAS, embedded computing, and edge software lifecycle management. Engineer end-to-end edge OTA systems, application orchestration, and deployment infrastructure, integrating computer vision workloads with hardware-level interfaces across heterogeneous platforms. Focused on bridging embedded systems and software infrastructure to enable reliable, efficient, and scalable automotive software deployment.
Developed and maintained backend applications using Python and Django REST Framework, building scalable APIs and implementing backend solutions aligned with application requirements and development best practices.
Have an idea or opportunity?
I'm always interested in connecting with people working on thoughtful software, emerging technology and research-driven ideas.
Download my resume PDF · Professional experience & projects