Technology and Sports


Being an athlete, nothing excites me more than the advancement in technology and its implementation in sports. From a personal experience, I remember how I used to write down my match reviews in a notebook to prepare for upcoming matches. Things are way different now. From a tennis point of view, I think that PlaySight is an excellent advancement that not only lets players view their matches but also generates statistics about the game. Furthermore, True View by Intel is also a really exciting technology which enhances UX by giving a 360 degree of the environment using voxels (Volumetric pixel). But the idea behind all these technology is the usage of cameras to capture data. What if technology itself was integrated into the key elements of a given sport. For example, what if we could have sensors within the tennis balls that would give more accurate data in real time about the play? Features such as swing power, RPM of the ball etc. could be more precisely extracted for the player and his/her coaches for review. Speaking about cameras, “Hawkeye” is another feature that allows players to challenge the umpire’s call in a tennis match. It uses six cameras and tracks the path of the tennis ball on each camera. The images are combined to produce a 3D representation of the path. But what if there was some sort of a grid beneath the court surface that would use pressure sensors to collect data about the the position where the ball bounced on the court. Could this make the game automated and eliminate the presence of an “umpire”?

Machine Learning in Validation


Recently, I had sparked an interesting conversation with a colleague about the applications of Machine Learning. We spoke about eSports, self-driving vehicles and other topics. However, one specific application that intrigued my thoughts was the implementation of such a powerful concept in the sector of “validation”. For a course on Computer Architecture, we had to design a pipelined multimedia unit. For it’s validation, we had to create our own test cases and upload them on a text file to be extracted by a testbench. The industry continues to work on newer and better products. But what if there was a trend in this advancement? Could this trend be learned and trained by a computer to shorten the time of the “validation-redesign-validation” period? Could this learning produce test cases that would more accurately and effectively test the reliability of a product? Could this learning relate the advancement trend with the testing environment?  Food for thought.

Success Story


Though very complimentary with the title of this writing, my recent job applications and searches as a prospective college graduate has been nothing but a series of disappointments and failures. In the early stages, I interviewed with a few smaller companies and they hesitated to give me an opportunity due to my visa status. Next, I targeted a few bigger names that correlated to my field of study. I happened to speak with two of the biggest companies in the technology industry. Furthermore, I also advanced to the final round of one. Within my conscience, I knew I had taken my first step into the “out of college” atmosphere. But, when the result came out, it was contradictory to my expectations. So why do I call this post a success story? I have happened to look at this experience as nothing but a learning curve. I am resilient and my dreams are higher than the reality. Hence, I will only work harder and learn with every new sunrise. In the meantime, I am also dedicating myself into writing a book about my experiences as an International Student-Athlete in the United States of America. I know that one day I will pen down my own success story.

The epitome of financial literacy

jacks-stands-marketplace-shark-tank  SO, a post after a really long time. This one really drove me to do so. Lately, I have been watching a lot of “Shark Tank” episodes and watching numerous entrepreneurs pitch in their ideas to the mammoths of investment sector. Today, I watched a 10 year old young entrepreneur (not a kid in my eyes) explain his own company that teaches entrepreneurship to other kids of his age category. What amused me more than his concept was his sheer vision of the world and also, his confident personality when delivering his speech. When I was 10, all I wished for was a new toy in the market. When Jack is 10, he is giving an opportunity to the likes of Mark Cuban and Chris Sacca to be a part of his vision. I think this is where nurturing plays a huge role. In my opinion, we need the nurturing that Jack had in every household around the world. And then, there will be no room for poverty and terrorism in this world. Be like Jack.

Read more about this story. Also, watch the video yourself and feel motivated.

Storage and Stimulation of human emotions over time.

human brainAs a “Senior Design Project” student, my mind has been wandering off to various ideas and imaginations over the past few days. There is one such brainchild which I want to share (not sure if people are already working on this field). The multidisciplinary studies between neurobiology and engineering often study the human brain and predict patterns in which a human would respond. Once again, there are numerous projects in the “Big Data” industry which are being conducted in this field. However, such projects are examining human behavior and generating algorithms for predictions. Have you ever felt like storing a particular feeling and experiencing it all over again whenever you wanted it? It is like that one day in a year that you want to re-live. There is enough advancement in image capturing to store high-quality images and videos. BUT, what if there was a method with which human emotions and feelings could be stored and stimulated on demand? The episode named “San Junipero” (Black Mirror, Season 3, Episode 4) is something that somewhat reflects my thinking.  Just some food for thought.

A vegan lifestyle.


Today, I remember the long conversations that a bunch of college kids often discussed at the cafeteria table. Yes, it is me and my diverse group of friends. So what is the difference between a “vegan” and a “vegetarian” diet? Well, in addition to not consuming any animal meat, a vegan doesn’t eat eggs, dairy products or any other product derived from an animal. A vegan diet has several science-based benefits such as being richer in certain nutrients, lower risks of heart disease, lower blood sugar levels and improved kidney function. A vegan lifestyle is a growing trend and is supported by advancements in technology. Who thought that plant-based protein could replace the burger patties? Well, next time you visit Chipotle, do have a taste of the vegan menu.

I thank Sam and Stellios for opening my eyes to a completely new lifestyle (though I haven’t been able to adopt it very well :p )

70 years of Independence.

India Independence day

“At the stroke of the midnight hour, when the world sleeps, India will awake to life and freedom” – Jawaharlal Nehru.

India as a country has progressed in numerous sectors since its independence, making it an influential force in the world. As a student, studying thousand of miles from the home soil, there is no bigger pride than being treated equally among other nationalities and diversity. However,  there are several challenges that a country with a population of 1.324 billion faces. Child labor and trafficking, rural development, women empowerment and corruption are a few to name. We, as a community, should address these problems rather than relying upon the government to do the needful. The future of a nation lies in the hands of it’s citizens. So, what have you done for your society today?

Machine Learning Systems

Even though I am not fanatic about Dota, a largely played online multiplayer game, the finals of the recently concluded tournament left me both startled and optimistic about the future. Elon Musk backed OpenAI defeated the world’s best players using strategies and tactics that it had learnt within two weeks of operation. This means, by failing numerous times over the span of two weeks, and learning from every mistake, the bot had become capable enough to defeat human minds with years and years of experience. Can you imagine the scope of such Artificial Intelligence in our daily lives?