Gowtham Senthilnayaki

Boston, Massachusetts *****

857-***-**** # ad3vci@r.postjobfree.com ï GowthamS7 § GowthamS07 Education

Boston University

Masters, Majoring in Artificial Intelligence Boston, MA Sikkim Manipal University July. 2016 – June. 2020

Bachelors of technology in Computer Science and Engineering Sikkim, India Relevant Coursework

• Design and analysis

Algorithms

• Data structures

• Machine Learning

• Deep learning

• OOP

• Computer Networks

• Image video processing

• Blockchain

• Soft Computing

• Database Management

• Distributed Systems

• Software Engineering

• Natural Language

Processing

• Decision Making with

Data

• Computer Vision

Technical Skills

Languages: Python, C, C++, C#, Java, Latex, HTML/CSS, JavaScript, SQL, Dart, MATLAB, Bash Developer Tools: VS Code, Spyder, Jupyter Notebook, Colab, AWS- S3, Sagemaker, Git Technologies/Frameworks: Numpy, Matplotlib, OpenCV, Tensorflow, Keras, Pandas, PyTorch, NodeJS, Django, Flask, SciPy, Scikit-learn, Docker, MongoDB, NLTK, Scrapy, bs4 Projects/Algorithms: Regression, Artificial/Convolutional/Recurrent Neural Networks, GAN, Clustering, Word Embeddings, Recommendation, Web Scraping, GPT, LLAMA, LangChain, Reinforcement Learning Operating Systems:Windows, Ubuntu(Linux), MacOS

Experience

Boston University

Research Assistant

•

behavior.

• Leading a project focused on web scraping ESG report data, with the aim to build a fine-tuned Large Language Model for extracting actionable insights from these reports. Coence.co March 2021 – August 2022

AI Engineer

• Pioneered a comprehensive Resume Extractor and Creator system, leveraging advanced parsing techniques to distill and tailor resume content for specific job descriptions.

• Designed and implemented a bespoke recommendation engine to dynamically match users with events, competitions, and hackathons, enhancing user engagement and exposure. Mastech Infotrellis January 2020 – February 2021

Offshore Data Science Specialist

• Developed an ontology-based decision support system and engineered sophisticated metadata filters for optimizing the company’s data utilization.

• Crafted an OCR-based data extraction pipeline, streamlining the processing of proprietary company data. Bobble.ai January 2020 – August 2020

AI Intern

• Collaborated directly with the AI Lead to develop a novel Speech Recognition system for Indian languages, including the creation of a data pipeline managing over 1 million speech data points weekly.

• Conceived and executed a GAN-based filter for generating artistic stickers from user photos, coupled with a comprehensive data pipeline for model training.

MyCaptain-The Climber January 2020 – October 2023

Blockchain, Python & AI mentor Part Time

• Educated over 10,000 students in AI, Blockchain Technology, and Python, while shaping the next generation of tech enthusiasts.

• Played a pivotal role in developing course material for Python and AI courses and delivered two masterclass series on AI tools, enhancing the educational offerings.

Indian Statistical Institute May 2019 – July 2019

Research Intern

• Conducted research under PostDoc of Dr. Ashish Ghosh, focusing on the classification of multi-label datasets using a combination of Association Rule Mining and Machine Learning techniques. Jun 2023– Dec 2023

December 2023

Developed innovative graph embeddings to represent customer spending patterns, providing novel insights into consumer Projects

Large Language Model Based Projects MS AI Mini Project Personal Project Code August 2023 – Present

• Created a Large Language model-based Research analyzer that predicts chances of paper selection in publications.

• Created an AI personal Assistant called DAN powered by LLAMA, Lang Chain for my day to day tasks. RealTime Image to Image Translation MS AI Mini Project Code April 2023

• Researched on a real time and much efficient GAN based Image to Image translation model.

• Coordinated with a team of 3 and the main coder that implemented different GAN architectures like CycleGAN and DCGAN on Facades Dataset.

Cryptocurreny Prediction and Management MS AI Mini Project Code April 2023

• Researched on a real time Dashboard that predicts Cryptocurrency prices and management of Crypto assets.

• Coordinated with a team of 3 and the main coder that implemented different ML algorithms like Decision Trees and Recurrent Neural Network models to predict Cryptocurrency prices and helped in creating a dashboard to manage crypto assets as part of a Data Science Course.

Facial Expression Recognition BTech Mini Project Code April 2019

• Researched on creating a Facial Expression Recognition model solely based on JAFFE Dataset.

• Main coder and Lead a team of 2 in creating a Facial Expression Recognition model on JAFFE Dataset using Active Shape Model and Data Augmentation techniques.

Computer Vision based Library Management System Personal Project Code October 2019

• A Library Management system using Optical Character Recognition (OCR) and a dedicated Database.

• Created the entire codebase alone and used tesseract for OCR of ID cards and Book names, the project drastically reduced the time taken to get a book from the library and redirected man power. Publications

[1] T.K. Dugar, Gowtham. S, U.K. Chakraborty. Hyperparameter Tuning using enhanced Authorship Identification using Deep Neural Networks (paper id: ICOEI 227) in proceedings of the 3rd International Conference on Trends in Electronics and Informatics. (ICOEI - 2019).

[2] A revised form of the paper published in the book volume - Applied Soft Computing Techniques and Applications by AAP-CRC Press. Chapter ID: ASC 24, Title: Comparing Word Embeddings on Authorship Identification, Authors: Tarun Kumar Dugar, Gowtham S., Udit Kr. Chakraborty Positions and Responsibility

Open Seventeen Challenge - United Nations March 2020 – July 2020 Student

• Selected as a student for the coaching program for open seventeen challenge on uses of AI after getting selected in idea discussion stage and will be mentored to attend the SDG Summer School 2020 in Geneva, Switzerland. Explore ML Academy Google Hyderabad August 2019 – August 2020 Facilitator

• Selected as a Facilitator for Explore ML Academy an Initiative by Google AI Hyderabad, I am responsible for conducting workshops across India to spread the knowledge of AI. D’CODERS August 2017 – August 2020

Core Team Member

• D’Coders is a coding club in SMIT, I am a part of the core team to conduct workshops and coding events.

• Also Responsible of conducting departmental events in our semester and acted as the bridge between the department teachers and the students

• Volunteered in ICACCP 2017 and 2019 that was held in our college campus Courses

[1] Coursera: IBM Data Science Professional Certificate

[2] Coursera: Deep Learning — deeplearning.ai

[3] Coursera: Python for Everybody — University of Michigan

[4] Udemy: App development using Flutter

[5] Coursera: Natural Language Processing Specialization —deeplearning.ai

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