Data is the new silicon & I just learning how to shape it -

Excited to share that I’ve successfully completed the "Python for Data Science" course from Swayam NPTEL! A key milestone in my journey into AI, Edge Computing, and Intelligent Electronics.

From cleaning data to visualizing insights and getting hands-on with Pandas and a taste of ML workflows with Scikit-learn, this course connected the dots between data and decision-making. 

Just completed an insightful journey through the Swayam NPTEL Course on CMOS Digital VLSI Design with an Elite badge ! This course is conducted by Prof. Sudeb Dasgupta from the Department of ECE, Indian Institute of Technology, Roorkee

In the initial weeks, dealing with critical equations in CMOS digital design felt quite challenging. However, with practice I was able to develop a strong understanding of key VLSI concepts.

Through this course, I gained insights into transistor sizing, power-performance-area trade-offs, and their impact on digital circuit design. The curriculum covered fundamental aspects of CMOS logic design, circuit characteristics, power analysis, and technology scaling, along with various levels of SPICE modeling—all of which are essential for modern VLSI design. 

Recently completed the NPTEL course on High-Level Synthesis (HLS), and it has been a game-changer in how I approach hardware design! 🚀

I now have the ability to translate C/C++ algorithms into efficient, real-world RTL for FPGA and SoC implementations.

The course delved deep into the full HLS design flow — preprocessing, scheduling, allocation & binding, datapath generation, and controller synthesis — giving me hands-on insight into how high-level code becomes optimized hardware.

It also strengthened my understanding of graph theory and DSA algorithms, and how these algorithmic models can be mapped into high-performance RTL architectures.

Mastering concepts like loop pipelining, unrolling, and performance–area trade-offs has made hardware acceleration even more exciting for me.

Grateful to Prof. Chandan Karfa and NPTEL for such a rich and inspiring learning experience...

Attended a very insightful session about the advanced Versal ACAP architecture.

Key takeaways about Versal ACAP-

🔸It integrates the specialized AI engines (for CV, NLP and deep Learning tasks), processing system (ARM cortex - A72/R5 cores), programmable logic (CLBs), and intelligent engines (DSP slices, GPUs) into a single platform making it a versatile solution for a wide variety of missions.

🔸Also integrates with TensorFlow, PyTorch and other ML frameworks, making it ideal to deploy AI & ML models onto the platform.

🔸Perfect for modern applications such as AI, ML, 5G, automotive (ADAS) & industrial systems.

🔸Looking to harness the power of Versal ACAP for edge computing—enabling real-time AI, low-latency processing, and intelligent automation at the edge. 

I'm excited to share that I've finished the 5- day "Designing Embedded AI Systems using STMicroelectronics AI Ecosystem" training program...!

My earlier practical experience with the Arduino, ESP32, and now the STM32 microcontroller has greatly enhanced my understanding of embedded systems and IoT. This lecture provided thorough understanding of programming of STM32.

As part of the training, I worked on a range of projects and investigated different aspects of artificial intelligence in embedded systems. Using the STM32 and NanoEdge AI Studio, we worked on a project in which we train a model to recognize sounds like ambulance sirens and baby cries. This study gave an idea that how embedded AI can be implemented in practical issues to improve the intelligence of IoT devices. It can be used in a variety of real-world scenarios in industries like healthcare and emergency response.