Rohit Naik

Imran Khan - Software Engineer, Google

Rohit was my summer intern in Google Mobile iOS Ads SDK team. During 3 month we worked together, He came across as a quick learner and curious about learning new technologies. These are two very important qualities for a fresh grad in my opinion. His ramp up time was small and he was able to mostly work independently on his project. He designed the solution, presented it to the team and was able to delivered the project. Mentoring him was fun.

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Jeenal Kava - Technology Analyst, Credit Suisse

Rohit is passionate about his work. He is very much updated with the current technology trends and tries to get better at those technologies. He always wants to get an optimal solution to any problem. When we worked on a project together at Credit Suisse, I remember he was able to quickly settle into the role and contribute right from the time he joined. He easily fits into and enjoys working in teams. Rohit keeps on exploring new things, is very professional at work and can go to lengths to help out his colleagues!

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Chaitanya Suvarna - Technology Analyst, Barclays

I had an opportunity to work with Rohit during our internship at Credit Suisse. Rohit was a well organised and always planned ahead in time when it came to day to day tasks. Always driven with passion, Rohit saw to it that he came up with the best possible solution at the same time was a great team player. Working with him was as much a learning experience as much as it was a fun experience. A great team player who saw to it that we always divided tasks based on our strengths and we completed the tasks on schedule. I wish him well for his future endeavours and look forward for a chance to work with him again. Cheers buddy!

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Malicious Web Content Detection Using Machine Learning

• Devised a module for extracting features from a webpage and its URL using Python libraries - ‘BeautifulSoup’ and ‘urllib’.
• Used a random forest classification model for predicting class labels for web pages with a testing accuracy of 96.11%.

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Skin Disease Detection

• Built a skin disease image classification model using Python libraries - ‘lasagne’ and ‘nolearn’ having an 85% accuracy.

Proof of Publication

Schedule Generator chat bot

• Developed an algorithm, working in a team of 4 to generate weekly schedules based on pending tasks and dependencies between tasks, and export the schedule directly to Google Calendar.

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Image processing using CUDA

• Developed an algorithm, working in a team of 4 to generate weekly schedules based on pending tasks and dependencies between tasks, and export the schedule directly to Google Calendar.

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MPI library implementation

• Built a version of MPI library with basic functions such as MPI_Init, MPI_Send, MPI_Recv, MPI_Barrier, MPI_Finalize, etc.
• Used socket programming over a cluster of high performance computing nodes for facilitating communication.

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smartART

• Created an Android application during PackHacks 2018, for children in Kindergarten to learn, understand and recognize day- to-day objects better, by integrating Google Vision API and 3-D object rendering.

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