Top talent is on Pangea

You are viewing Archana's profile as a guest. Book a free call with our team to discuss your options for hiring fractional workers on Pangea's industry-leading talent marketplace.

Archana Vaidheeswaran

AI & Machine Learning Engineer • Singapore
GraphQL
Streamlit
PostgreSQL
Computer Vision
scikit-learn
MySQL
Microsoft Azure
Database Management
Linear Regression
Domo Inc
Data Analysis
Amazon S3
Data Structures And Algorithms
SQLite
Databases
Machine Learning
Available for hire fromNegotiable
Contracts
Tech Leader | Data Scientist | AI Engineer
With a Bachelor of Technology in Electrical and Electronics Engineering from SRM University, this individual has a strong educational background. Their professional journey includes roles such as Board Member at Women in Machine Learning, Data Product Manager at Women Who Code, and Senior Leadership Fellow at Women Who Code. They have also served as a LinkedIn Learning Instructor, Data Scientist at DHL Express, and Artificial Intelligence Engineer at Continental. Their expertise extends to roles such as Instructor at Udacity, Machine Learning Consultant at Saama, and Artificial Intelligence Engineer at Saama. Their contributions include strategic decision-making, data security policy conceptualization, and the development of analytical frameworks. They have also managed teams, nurtured relationships with global companies, and published papers on machine learning. Their experience reflects a strong commitment to advancing technology and empowering women in the tech industry.

Projects

Fractional CTO Services

Provided Fractional CTO and AI consulting services, successfully delivering over 20 projects with an impressive client retention rate of 85%. Customers include healthcare, e-commerce, sustainability, course development, and SRE teams.See More

SpeakerScribe App

Speaker Scribe is designed to help speakers across the globe, especially those who, like me, have spent hours crafting proposals and facing the language barrier.See More

ScaleDown Newsletter

Discover ScaleDown, The ultimate source for MLOps, LLMs, and TinyMLOps! Boost your expertise with our crisp technical insights and join a thriving community. Subscribe now and Elevate your ML game! See More

Online Courses Instructed and Created

Explore my curated online courses on TinyML and MLOps, designed to empower learners with cutting-edge skills for IoT devices and AI model management in the cloud See More

Pillar

Connecting Cancer Patients Online through GPT-4 Gen AI model with fine tuning on doctor-recommended data. This app helps to answer everyday questions that Cancer Patients might haveSee More

Work History

W

Board Member

Women in Machine LearningMar 2023 - Present • 1 yr 7 mosContributed to the strategic direction and decision-making for Women in Machine Learning.
W

Data Product manager

Women Who CodeMay 2022 - Present • 2 yrs 5 mos- Conducted extensive market research and analysis to understand job-board customer needs, resulting in a 15% increase in user retention.. - Led product strategy, reducing software development costs by 60% through efficient in-house transition. - Led a cross-functional team to track company-wide KPIs with API Integrations on 30+ apps on an analytical BI dashboard using SQL functions and Postgres - Designed a Recommendation Engine, driving personalized experiences for a community of 350,000+ members.
W

Product Specialist

Women Who CodeDec 2021 - Apr 2022 • 5 mosBuilding an Analytical Dashboard Product to track metrics from Zoom, meetup.com, and YouTube for online events in WWCode - Using Plotly Dash with AWS(Redshift+VM) to build and run the dashboard - Building a Dashboard for various internal functions
W

Leadership Fellow

Women Who CodeMay 2020 - Dec 2021 • 1 yr 8 mos- Managed a team of 40+ volunteers to deliver 50+ virtual technical workshops for the mentorship of women technologists during the pandemic. - Established and nurtured relationships with global companies, collaborating with them to plan technical events and identify opportunities for Women Who Code to assist their recruitment process. - Increased the Python community membership from 1k to 2k in 1.5 years
L

LinkedIn Learning Instructor

Linkedin Learning Courses®Jan 2022 - Present • 2 yrs 9 mos- Produced Course on Learning TinyML - Launched a course on MLOps with Vertex AI - Launching courses on LLMOPs- MLOPs for LLM
D

Data Scientist

DHL ExpressDec 2021 - May 2022 • 6 mos- Modelling for forecasting various functions in DHL - Collaborated with multiple clients as the Product Owner for the DHL worldwide forecasting platform to predict their revenue and shipment of goods
C

Artificial Intelligence Engineer

ContinentalAug 2020 - Nov 2021 • 1 yr 4 mos- Orchestrated project planning and team allocation for data platform product services, which provided data storage, visibility, and compute on for the entire AI team of 60 people - Led a team in the development of a chatbot for customers in the manufacturing sector - Worked on automatic annotation using CVAT - Applied Deepstream for multiple cameras used on NVIDIA Jetson Board - Currently working on a Data Platform which uses Data Engineering techniques and data storage services to make the lives of AI engineers easier
U

Instructor

UdacityJan 2020 - Apr 2020 • 4 mos- Built a course for Intel Edge AI for IoT Developers Nanodegree Choosing the Right Hardware for the Edge - Built a project for Smart Queueing System. - Average Nanodegree Rating is 4.75, with 16000 students worldwide
S

Machine Learning Consultant

SaamaAug 2019 - Feb 2020 • 7 mosContributed to the implementation of machine learning solutions for clients at Saama.
S

Artificial Intelligence Engineer

SaamaJun 2018 - Jul 2019 • 1 yr 2 mos- Piloted internal training and provided support to client teams in the adoption of chatbot - Proactively took ownership of product strategy and managed customer profiles for external clients and future product expansion - Published a paper on Classifying Convolutional Neural Networks using DNA Methylation: https://arxiv.org/abs/1807.09617 - Worked on models for running it on the edge by using Movidius; the blog can be found here: https://www.saama.com/blog/movidius-next-big-leap-machine-learning-inference-edge-computing/
D

AI Chief Data Scientist

Data and AI consultingMay 2022 - Present • 2 yrs 5 mosProvided Fractional CTO and AI consulting services, successfully delivering over 20 projects with an impressive client retention rate of 85%. Customers include healthcare, e-commerce, sustainability, course development, and SRE teams.

Education

N

National University of Singapore

Masters Degree, Electrical and Computer Engineering
N

National University of Singapore

Masters Degree, Business Administration

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Tech Leader | Data Scientist | AI Engineer
With a Bachelor of Technology in Electrical and Electronics Engineering from SRM University, this individual has a strong educational background. Their professional journey includes roles such as Board Member at Women in Machine Learning, Data Product Manager at Women Who Code, and Senior Leadership Fellow at Women Who Code. They have also served as a LinkedIn Learning Instructor, Data Scientist at DHL Express, and Artificial Intelligence Engineer at Continental. Their expertise extends to roles such as Instructor at Udacity, Machine Learning Consultant at Saama, and Artificial Intelligence Engineer at Saama. Their contributions include strategic decision-making, data security policy conceptualization, and the development of analytical frameworks. They have also managed teams, nurtured relationships with global companies, and published papers on machine learning. Their experience reflects a strong commitment to advancing technology and empowering women in the tech industry.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top talent is on Pangea

You are viewing Archana's profile as a guest. Book a free call with our team to discuss your options for hiring fractional workers on Pangea's industry-leading talent marketplace.

Archana Vaidheeswaran

AI & Machine Learning Engineer • Singapore
GraphQL
Streamlit
PostgreSQL
Computer Vision
scikit-learn
MySQL
Microsoft Azure
Database Management
Linear Regression
Domo Inc
Data Analysis
Amazon S3
Data Structures And Algorithms
SQLite
Databases
Machine Learning
Available for hire fromNegotiable
Contracts

Projects

Fractional CTO Services

Provided Fractional CTO and AI consulting services, successfully delivering over 20 projects with an impressive client retention rate of 85%. Customers include healthcare, e-commerce, sustainability, course development, and SRE teams.

SpeakerScribe App

Speaker Scribe is designed to help speakers across the globe, especially those who, like me, have spent hours crafting proposals and facing the language barrier.

ScaleDown Newsletter

Discover ScaleDown, The ultimate source for MLOps, LLMs, and TinyMLOps! Boost your expertise with our crisp technical insights and join a thriving community. Subscribe now and Elevate your ML game!

Online Courses Instructed and Created

Explore my curated online courses on TinyML and MLOps, designed to empower learners with cutting-edge skills for IoT devices and AI model management in the cloud

Pillar

Connecting Cancer Patients Online through GPT-4 Gen AI model with fine tuning on doctor-recommended data. This app helps to answer everyday questions that Cancer Patients might have

Work History

W

Board Member

Women in Machine LearningMar 2023 - Present • 1 yr 7 mosContributed to the strategic direction and decision-making for Women in Machine Learning.
W

Data Product manager

Women Who CodeMay 2022 - Present • 2 yrs 5 mos- Conducted extensive market research and analysis to understand job-board customer needs, resulting in a 15% increase in user retention.. - Led product strategy, reducing software development costs by 60% through efficient in-house transition. - Led a cross-functional team to track company-wide KPIs with API Integrations on 30+ apps on an analytical BI dashboard using SQL functions and Postgres - Designed a Recommendation Engine, driving personalized experiences for a community of 350,000+ members.
W

Product Specialist

Women Who CodeDec 2021 - Apr 2022 • 5 mosBuilding an Analytical Dashboard Product to track metrics from Zoom, meetup.com, and YouTube for online events in WWCode - Using Plotly Dash with AWS(Redshift+VM) to build and run the dashboard - Building a Dashboard for various internal functions
W

Leadership Fellow

Women Who CodeMay 2020 - Dec 2021 • 1 yr 8 mos- Managed a team of 40+ volunteers to deliver 50+ virtual technical workshops for the mentorship of women technologists during the pandemic. - Established and nurtured relationships with global companies, collaborating with them to plan technical events and identify opportunities for Women Who Code to assist their recruitment process. - Increased the Python community membership from 1k to 2k in 1.5 years
L

LinkedIn Learning Instructor

Linkedin Learning Courses®Jan 2022 - Present • 2 yrs 9 mos- Produced Course on Learning TinyML - Launched a course on MLOps with Vertex AI - Launching courses on LLMOPs- MLOPs for LLM
D

Data Scientist

DHL ExpressDec 2021 - May 2022 • 6 mos- Modelling for forecasting various functions in DHL - Collaborated with multiple clients as the Product Owner for the DHL worldwide forecasting platform to predict their revenue and shipment of goods
C

Artificial Intelligence Engineer

ContinentalAug 2020 - Nov 2021 • 1 yr 4 mos- Orchestrated project planning and team allocation for data platform product services, which provided data storage, visibility, and compute on for the entire AI team of 60 people - Led a team in the development of a chatbot for customers in the manufacturing sector - Worked on automatic annotation using CVAT - Applied Deepstream for multiple cameras used on NVIDIA Jetson Board - Currently working on a Data Platform which uses Data Engineering techniques and data storage services to make the lives of AI engineers easier
U

Instructor

UdacityJan 2020 - Apr 2020 • 4 mos- Built a course for Intel Edge AI for IoT Developers Nanodegree Choosing the Right Hardware for the Edge - Built a project for Smart Queueing System. - Average Nanodegree Rating is 4.75, with 16000 students worldwide
S

Machine Learning Consultant

SaamaAug 2019 - Feb 2020 • 7 mosContributed to the implementation of machine learning solutions for clients at Saama.
S

Artificial Intelligence Engineer

SaamaJun 2018 - Jul 2019 • 1 yr 2 mos- Piloted internal training and provided support to client teams in the adoption of chatbot - Proactively took ownership of product strategy and managed customer profiles for external clients and future product expansion - Published a paper on Classifying Convolutional Neural Networks using DNA Methylation: https://arxiv.org/abs/1807.09617 - Worked on models for running it on the edge by using Movidius; the blog can be found here: https://www.saama.com/blog/movidius-next-big-leap-machine-learning-inference-edge-computing/
D

AI Chief Data Scientist

Data and AI consultingMay 2022 - Present • 2 yrs 5 mosProvided Fractional CTO and AI consulting services, successfully delivering over 20 projects with an impressive client retention rate of 85%. Customers include healthcare, e-commerce, sustainability, course development, and SRE teams.

Education

N

National University of Singapore

Masters Degree, Electrical and Computer Engineering
N

National University of Singapore

Masters Degree, Business Administration

How Pangea Works

Effortlessly discover top talent

We’ve distilled the candidate search from endless hours down to just a few minutes. Using Pangea’s AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company’s niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea’s fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team’s capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We’ve combined every part of the hiring process into one platform to eliminate the miscommunication that’s unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
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