About
A curious engineer who loves to take on challenges heads on and give my best in finding a resolution. I enjoy cooking Indian cuisine for my friends and family. I also love to read books which help me broaden my horizons. A book that I would recommend: The Art of Thinking Clearly by Rolf Dobelli.
I am open to work from December 2022
Recently I worked as a Software Engineer Intern at NLX, where I got an opportunity to understand some cutting edge technology in automated chatbots. I will be graduating from NYU in December 2022 with a masters in computer science with hands-on experience in cloud computing technologies such as AWS and GCP using python, java, and SQL. I have a strong interest to work in cloud computing, backend development as well as data oriented roles.
Skills:
- Languages: Java, Python C/C++, Javascript
- Technologies: SQL, HTML5, CSS, XML, Git, Amazon Web Services
- Frameworks/Libraries: Apache Hadoop, Apache Spark, Apache Kafka, PySpark, Bootstrap
- Operating Systems: Windows OS, Mac OS, Linux
Education
Masters of Science in Computer Science - Jan 2021 to Dec 2022 (Expected)
New York University Tandon School of Engineering, Brooklyn, NY
GPA: 3.55 out of 4.0
Course Work:
- Design and Analysis of Algorithms, Cloud Computing, Operating Systems, Big Data, Machine Learning.
Extracurricular Activities:
- Member of Society of Women Engineers (SWE).
- Organized events like Game Night as a committee member of Graduate Indian Student Association.
- Founded the Trading and Investing club at NYU.
Bachelors of Technology in Computer Science - July 2016 to June 2020
Symbiosis Institute of Technology, Pune, India
GPA: 8.0 out of 10.0
Research Publication:
- Dhir, R., Ashok, M., Gite, S., Kotecha, K. (2020, December). Automatic image colorization using GANs. In International Conference on Soft Computing and its Engineering Applications (pp. 15-26). Springer, Singapore.
Course Work:
- Object Oriented Programming, Data Structures and Algorithms, Software Engineering, Distributed Systems.
Extracurricular Activities:
- Participated and secured merit in Anveshan 2019-National Level Student Research Convention organized by Association of Indian Universities(AIU)
- Head of the technical team of the Computer Science Department during the Technical Festival of the institute
- Participated in Smart India Hackathon 2018.
- Taught underprivileged kids in slum areas of Pune as a part of volunteer work.
Experience
Software Engineering Intern- NLX Inc.
Jun 2022 - Aug 2022, New York City, NY
- Designed an Open Sourced MVP to accept design input from Figma and import it to a visual canvas as part of Voice Compass to decrease the lead time to production. Implemented a plugin that accepts JSON inputs to create personalized designs using TypeScript and categorize them into user-defined groups.
- Converted user-given string input into JSON arrays. Extracted and modified the coordinates from the JSON array to make it proportional to the Voice Compass canvas. Compressed the JSON data as a string and created a ‘COPY LINK’ button to use it.
- Accepted images from a user, by calling the voice compass API request to retrieve the destination S3 bucket location to upload the image to S3 bucket.
- Focused on user experience design of the plugin UI window using HTML, CSS, and React to provide optimum functionality. Performed unit testing of APIs in Postman to validate status 200 response. Documented the code for future references
Data Scientist Intern- AlgoAnalytics pvt. ltd.
Jan 2019 - Jun 2019, Pune, India
- Developed an Android app to assist doctors to create prescriptions using voice commands and output them into PDFs. Implemented Microsoft Azure STT API for speech to text conversion.
- Used Google DialogFlow to disambiguate the output of the STT API. The mobile application was developed using Java and Android Studio and the principle of language model and acoustic model of Natural Language Processing. SQL Alchemy and Flask framework were used to manage the doctors’, patients’ and medicine information in the database
- Healthcare practitioners were greatly benefited by the application as they observed an increased accuracy by 21% for their prescriptions.
Graduate Assistant- NYU GPH
Feb 2021 - Sept 2021, Remote
- Designed and developed the website for the MOST Research program.
- This was hosted on the main website of the institute to educate and create awareness to engage audience about the research program.
- This website proved to be crucial to increase the number of enrollments.
Live Instructor- CAMPK12
May 2020 - Oct 2020, Remote
- I volunteered to teach programming concepts to students aged 6-18 via online platform.
- The projects involved the use of javascript, Machine Learning fundamentals, computer graphics, and other similar technologies.
Projects
Dining Concierge Chatbot
Dining Concierge Chatbot is an AWS-based serverless cloud application that sends you restaurant suggestions given a set of preferences that you provide the chatbot with through conversation.
Smart Photo Album
Photo album web application that can be searched using natural language through both text and voice. This application uses Lex, ElasticSearch, and Rekognition to create an intelligent search layer to query your photos for people, objects, actions, landmarks and more.
Spam Email Detection
A spam detection system built on AWS cloud, that upon receipt of an email message, automatically flags it as spam or not. This is based on the prediction obtained from the machine learning model created using Amazon SageMaker. The definition and provision of the resources on AWS cloud is done through the AWS Cloudformation template. This template can also be used with AWS code pipeline to automate the resource stack formation.
Analyzing Temperatures based on Covid Lockdown
A very short lockdown can can trigger a chain reaction of interesting atmospheric effects and cause the everyday temperatures to plummet or rise. This is an attempt to analyse the effect of covid lockdowns on everyday temperatures. It is specifically focused on NYC’s weather data to apply the lockdown period information to observe a pattern of temperature curve. Framework/ETL Tool: Apache Spark + Pyspark as an ETL tool to pre-process large scale data
StockBuzz
An attempt to build a web interface to provide stock related information based on the buzz in social media. The aim was to analyze the impact of social media posts like twitter on stock market and provide the user with real time text updates in case of significant fluctuation in prices. We are providing the top social media news as inshorts on our frontend to keep the user updated about the happenings in the virtual world
SafeSpace
Mental health is a big problem in the world. This was only made worse by the Covid-19 pandemic, where we have to worry about the challenges of working remotely and even our own jobs. SafeSpace is a web app that tries to simplify the interaction between the mental health app and the user. We want SafeSpace to be a safe space for people, a place where they can check in and see how they are feeling.