Hello 👋, I am Gokulakannan S!
I am an Artificial Intelligence and Data Science Aficionado🤖, Cloud Wizard☁, Chemical Undergrad👨,
and an Avid Researcher🔬!
About
Namaste! I am Gokulakannan Sakthivel aka Gokul. I am a budding Data Scientist and Azure Cloud Engineer! I am Azure Fundamentals and Agile Certified! I completed my BTech undergraduate degree in Chemical
Engineering from the National Institute of Technology Rourkela 2022. I am interested in building
real-time applications and research in the field of Data Science and Artificial Intelligence
incorporating Cloud Technologies! Currently, I am working at Eli Lilly
as a Azure Foundation Engineer. I work on managing the Azure Infrastructure and Monitorization at Lilly. My hobbies include travelling, learning new languages, anime
and graphic designing.
I am skilled in Python and MATLAB programming, Machine Learning, Deep Learning and cloud technologies like Microsoft Azure, Google Cloud Platform and DigitalOcean. I am also good with designing softwares like Adobe Photoshop, Illustrator and Indesign. My research interest include Machine Learning, Deep Learning domains like Computer Vision and Natural Language Processing. I am a tech geek so I often update myself with upcoming technologies and discoveries in the field of Artificial Intelligence!
I aim to integrate Artificial Intelligence technologies with multiple realms of scientific research and develop machines which can perform marvel and assist the humanity!
Professional and Research Experiences
Now
Azure Cloud Analyst at Eli Lilly
July 2022 - Now
I started working at Eli Lilly from the month of June 6, 2022 as a Azure Cloud Foundation Engineer working on Azure Foundation. I build automations and work closely with team to make Azure cloud simple and easy to use for Lilly Customers.
I started working at Eli Lilly from the month of June 6, 2022 as a Azure Cloud Foundation Engineer working on Azure Foundation. I build automations and work closely with team to make Azure cloud simple and easy to use for Lilly Customers.
'20-'21
NLP Intern at University of California Irvine
June 2021 - Jan 2022
I am grateful to Prof Jing Zhang for giving me this opportunity to research under her. We worked on building deep learning architectures for predicting the genome transcriptions responsible for cancerous cells. We used Variational Autoencoders and GANS to build architectures and the data produced by various laboratories working on genomes.
I am grateful to Prof Jing Zhang for giving me this opportunity to research under her. We worked on building deep learning architectures for predicting the genome transcriptions responsible for cancerous cells. We used Variational Autoencoders and GANS to build architectures and the data produced by various laboratories working on genomes.
2021
Associate Data Scientist at Profond AI
June 2021 - Aug 2021
I am thankful to Adarsha Shivananda for this wonderful oppurtunity. We worked on building Machine learning based applications like detecting offensive languages in texts.
I am thankful to Adarsha Shivananda for this wonderful oppurtunity. We worked on building Machine learning based applications like detecting offensive languages in texts.
2021
ML Intern at Indian institute of Technology Madras
May 2021 - Aug 2021
I am grateful to Prof Tarak Patra for giving me this opportunity to research under him. We worked on creating machine learning models for predicting the phase transitions in polymers. We used LAMMPS software for creating data which involves the use of Molecular dynamics and Molecular Simulations.
I am grateful to Prof Tarak Patra for giving me this opportunity to research under him. We worked on creating machine learning models for predicting the phase transitions in polymers. We used LAMMPS software for creating data which involves the use of Molecular dynamics and Molecular Simulations.
'20 - '21
DL Intern at Indian Space Research Organisation
June 2020 - Feb 2021
ISRO – Indian Space Research Organisation gave me the first internship opportunity to explore my knowledge in Deep Learning. I am grateful to work under Scientist Rosly Boy Lyngdoh. This project revolves around the classification of land use and land cover of any particular region using the temporal full contextual network. The sample data is obtained from the Sentinel hub of a specific region named Slovenia. This project involved extensive use of the Tensorflow library to build the UNet architecture and a deep neural network for image segmentation and classification and EOLearn library to extract information from satellite images.
ISRO – Indian Space Research Organisation gave me the first internship opportunity to explore my knowledge in Deep Learning. I am grateful to work under Scientist Rosly Boy Lyngdoh. This project revolves around the classification of land use and land cover of any particular region using the temporal full contextual network. The sample data is obtained from the Sentinel hub of a specific region named Slovenia. This project involved extensive use of the Tensorflow library to build the UNet architecture and a deep neural network for image segmentation and classification and EOLearn library to extract information from satellite images.
'20-'21'
MLOps Intern at iNeuron
Sep 2020 - Mar 2021
I worked in the Machine Learning and Operations Division for constructing a full-fledged Healthcare premium predictor application. We applied several machine learning methods like Linear Regression, Support Vector Machines, Kmeans and boosting/bagging algorithms like RandomForest and XGBoost. The model which gave the best result with training data was then tested on real-world data. The complete application was then deployed on DigitalOcean Cloud, making it robust. We used Jenkins for CI/CD pipelines which created the entire application on minor changes in the Github Repo. Docker was used for containerizing the application so that it can run on DigitalOcean Kubernetes Engine. Locust was also used for load testing. It was a fun experience. Special thanks to Sudhansu Kumar(Project Head) and Sourangshu Pal(Project Head) for providing me such a fantastic opportunity and Khalid Hussain(Team Lead), Mithilesh Pradhan(Member) and Soumya Sethi(Member) for assisting me throughout the projects.
I worked in the Machine Learning and Operations Division for constructing a full-fledged Healthcare premium predictor application. We applied several machine learning methods like Linear Regression, Support Vector Machines, Kmeans and boosting/bagging algorithms like RandomForest and XGBoost. The model which gave the best result with training data was then tested on real-world data. The complete application was then deployed on DigitalOcean Cloud, making it robust. We used Jenkins for CI/CD pipelines which created the entire application on minor changes in the Github Repo. Docker was used for containerizing the application so that it can run on DigitalOcean Kubernetes Engine. Locust was also used for load testing. It was a fun experience. Special thanks to Sudhansu Kumar(Project Head) and Sourangshu Pal(Project Head) for providing me such a fantastic opportunity and Khalid Hussain(Team Lead), Mithilesh Pradhan(Member) and Soumya Sethi(Member) for assisting me throughout the projects.
2020
Data Analyst Intern at Blitzjobs
Jun 2020 - July 2020
I would like to thank Sweta Singh for this oppurtunity. I created a database with potential customers who might require HR services. Then according to the comments given to me by the Marketing team, I predicted if the customer is likely to take the service or not.
I would like to thank Sweta Singh for this oppurtunity. I created a database with potential customers who might require HR services. Then according to the comments given to me by the Marketing team, I predicted if the customer is likely to take the service or not.
2020
Machine Learning Intern at Verzeo
Apr 2020 - May 2020
I worked on implementing machine learning algorithms and data cleaning processes for predicting the prices of used cars.
I worked on implementing machine learning algorithms and data cleaning processes for predicting the prices of used cars.
Projects
Syllabus Chatbot for NIT Rourkela
A chatbot-project based on RASA and Python to showcase the syllabus and recommended books for various subjects taught at NITR.
Machine Learning on VLE Prediction Of CO2 over Amines
Btech Undergraduate Thesis on utilizing AI techniques to predict the carbon diooxide capture by absorption over 7 differnt amines.
Detecting the best waterfall spot in Tamilnadu to set up a restaurant
This project involves assisting a business person or a restaurant chain to find the most potential place to set up a new restaurant or branch, respectively near any waterfall in Tamilnadu.
Exploratory Data Analysis on Student Performances
This project involves an in-depth analysis of the student's performances based on various factors that include Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.
Multiclass Image classification
Multiclass image classification using VGGNet on 102 Flower dataset
Price Estimation of Used Cars
Prediction of the price of used cars based on attributes like location, lifetime, kilometres driven, fuel type and six other attributes. The project involved extensive data preprocessing and data visualization in obtaining best results after model training.
Certifications
Head to this page to checkout my Certifications!
Extra-curricular Activities
2019-Now - Mentor - Institute Counselling Services
- Institute Counselling services allot freshman to juniors, sophomores and seniors addressing their academic, financial, mental and socio-cultural issues. My work as a mentor is to make NITR freshers become accustomed to the NITR atmosphere. I am allotted to 4-5 freshman mentees each year. I take responsibility for counselling them and assisting them in academic and non-academic necessities.2020-2021 - Design Coordinator - Indian Institute of Chemical Engineers
- IIChE NITR is a student chapter of IIChE. We work on bringing together chemical engineers at NITR and enlightening them with advancements in Chemical Engineering. I am responsible for assigning and maintaining the design team members of the club. We prepare graphic designs for club activities, special occasions, technical fest and competitions.2020-2021 - Design Coordinator - Microsoft Campus Club
- Microsoft Campus Club is one of the technical clubs of NITR. We work on conducting events to enhance competitive programming and coding among the tech enthusiasts. I am responsible for assigning and maintaining the design team members of the club. We prepare graphic designs for club activities, special occasions and technical fest.2019-2020 - Member - Monday morning
- Monday Morning is the student media body of NITR. We work on connecting the student community of NITR with the administration. I was a part of the flutter mobile app development team and a graphic designer. I contributed to the Monday Morning app and designed graphics for various Monday morning articles. Check out my portfolio here.2020-2021 - Member - Machine Learning for Engineers
- ML4E club aims in bringing up the Data Science Community at NITR. Being a member of this club, we work on ML projects and share the latest advancements.2020-2021 - Member - OPENCODE
- Opencode club aims at the upbringing of Open-Source Community at NITR. Being a member, I participate in hackathons and contribute to open source.
Volunteer Experience
2019-2020 - Member - National Service Scheme
-NSS is an youth organisation ehich encourages students to take part in community service. I was a part of the cleaniless group.2020-2021 - Member - AASRA
- Aasra is an autonomous student social group run by students of NIT Rourkela. Being a proud Aasrite, I was part of educating the children of OSAP. Being a passionate helper, I enjoyed working and teaching the students. I cherish every moment spent here!