Top Talent like Sarthak are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specilaized talent, while giving talent more flexibilty and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Sarthak R

AI & Machine Learning Engineer •
API
Computer Science
Software Development
GPT-3
Data Science
Deep Learning
Chatbots
Machine Learning
Natural Language Processing
AI
Available for hire fromNegotiable
Contracts
Machine Learning and NLP Specialist | AI and Product Strategy | Software Engineer Intern
With a strong background in machine learning and natural language processing, I have gained valuable experience through various internships. At Space and Time, I worked on AI and product strategy as a Software Engineer Intern. My role at the Artificial Intelligence Institute at the University of South Carolina involved creating knowledge-infused embeddings and evaluating resulting embeddings. Additionally, at Prodigal, I implemented entity extractors for real-time processing of phone conversations and ensured legal compliance. My time at the Technical University of Munich and the Indian Institute of Technology, Kharagpur allowed me to work on transfer learning models for air quality sensors and train speech classification models. I also optimized a Nodewise Graph Convolutional Network model at Okkular.io. As a finalist in the Smart India Hackathon 2020, I collaborated on solutions for road safety and vehicle tracking. These experiences have equipped me with a diverse skill set and a strong foundation in AI and ML.

Projects

Portfolio of AI Apps

2-minute videos of AI apps I've built from startups from scratch.

Work History

S

Software Engineer Intern

Space and TimeMar 2023 - May 2023 • 3 mosAI and Product Strategy
A

NLP Research Intern

Artificial Intelligence Institute at University of South CarolinaSep 2022 - May 2023 • 9 mosCreated knowledge-infused embeddings by projecting word embeddings with ConceptNet knowledge graph embeddings, evaluated resulting embeddings with QVec CCA, and fused encoder representations of text and knowledge graph embeddings, evaluated resulting embeddings on sentence similarity.
P

ML Intern

ProdigalAug 2022 - Jan 2023 • 6 mosImplemented entity extractors for real-time processing of transcribed-diarised phone conversations between debt collection agents and customers, ensured legal compliance on agent-end and extracted repayment information. Successfully benchmarked and integrated over 200 extractors into Prodigal's ProNotes software.
T

ML Research Intern

Technical University of MunichJun 2022 - Aug 2022 • 3 mosTrained transfer learning models for calibrating air quality sensors to the performance of high-end laboratory sensors. Used BiLSTM, TFT and DNN models to predict the concentration of NO2 in Swiss, Indian and German cities with an R2 score of over 96% in each case. Adopted the model trained on Harkingen data to calibrate sensor readings taken in Delhi NCR and Mumbai.
I

NLP Intern

Indian Institute of Technology, KharagpurJun 2022 - Aug 2022 • 3 mosTrained a speech classification model using Wav2Vec2 to classify the mention of terms in queries sent to healthcare professionals. Also trained a transformer encoder for intent classification on Hindi translations of the queries.
O

Deep Learning Intern

Okkular.ioJun 2021 - Aug 2021 • 3 mosOptimised a Nodewise Graph Convolutional Network stylegen model to improve the compatibility of the generated outfits. Achieved 80% correct rankings and a Bayesian personalised ranking loss of 1.12 during validation after training on the Alibaba Personalised Outfit Generation dataset. Automated scraping and cleaning of image data from e-commerce sites on Sagemaker; created web apps for faster annotation of the obtained products' features and the generated outfits' rating by fashion experts.
S

Finalist

Smart India Hackathon 2020Nov 2019 - Jul 2020 • 9 mosCollaborated with a team using Agile methodology to provide solutions for ensuring road safety and vehicle tracking to the Govt. of Madhya Pradesh. Performed data cleaning, feature engineering and supervised learning on 10,000+ image logs from live input to prepare models to identify characteristics of cars.

Education

I

IIT Madras

BSc, Programming and Data Science
M

MRU

BTech, Major in CS, Minor in Data Science and ML

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
Machine Learning and NLP Specialist | AI and Product Strategy | Software Engineer Intern
With a strong background in machine learning and natural language processing, I have gained valuable experience through various internships. At Space and Time, I worked on AI and product strategy as a Software Engineer Intern. My role at the Artificial Intelligence Institute at the University of South Carolina involved creating knowledge-infused embeddings and evaluating resulting embeddings. Additionally, at Prodigal, I implemented entity extractors for real-time processing of phone conversations and ensured legal compliance. My time at the Technical University of Munich and the Indian Institute of Technology, Kharagpur allowed me to work on transfer learning models for air quality sensors and train speech classification models. I also optimized a Nodewise Graph Convolutional Network model at Okkular.io. As a finalist in the Smart India Hackathon 2020, I collaborated on solutions for road safety and vehicle tracking. These experiences have equipped me with a diverse skill set and a strong foundation in AI and ML.

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 like Sarthak are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specilaized talent, while giving talent more flexibilty and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Sarthak R

AI & Machine Learning Engineer •
API
Computer Science
Software Development
GPT-3
Data Science
Deep Learning
Chatbots
Machine Learning
Natural Language Processing
AI
Available for hire fromNegotiable
Contracts

Projects

Portfolio of AI Apps

2-minute videos of AI apps I've built from startups from scratch.

Work History

S

Software Engineer Intern

Space and TimeMar 2023 - May 2023 • 3 mosAI and Product Strategy
A

NLP Research Intern

Artificial Intelligence Institute at University of South CarolinaSep 2022 - May 2023 • 9 mosCreated knowledge-infused embeddings by projecting word embeddings with ConceptNet knowledge graph embeddings, evaluated resulting embeddings with QVec CCA, and fused encoder representations of text and knowledge graph embeddings, evaluated resulting embeddings on sentence similarity.
P

ML Intern

ProdigalAug 2022 - Jan 2023 • 6 mosImplemented entity extractors for real-time processing of transcribed-diarised phone conversations between debt collection agents and customers, ensured legal compliance on agent-end and extracted repayment information. Successfully benchmarked and integrated over 200 extractors into Prodigal's ProNotes software.
T

ML Research Intern

Technical University of MunichJun 2022 - Aug 2022 • 3 mosTrained transfer learning models for calibrating air quality sensors to the performance of high-end laboratory sensors. Used BiLSTM, TFT and DNN models to predict the concentration of NO2 in Swiss, Indian and German cities with an R2 score of over 96% in each case. Adopted the model trained on Harkingen data to calibrate sensor readings taken in Delhi NCR and Mumbai.
I

NLP Intern

Indian Institute of Technology, KharagpurJun 2022 - Aug 2022 • 3 mosTrained a speech classification model using Wav2Vec2 to classify the mention of terms in queries sent to healthcare professionals. Also trained a transformer encoder for intent classification on Hindi translations of the queries.
O

Deep Learning Intern

Okkular.ioJun 2021 - Aug 2021 • 3 mosOptimised a Nodewise Graph Convolutional Network stylegen model to improve the compatibility of the generated outfits. Achieved 80% correct rankings and a Bayesian personalised ranking loss of 1.12 during validation after training on the Alibaba Personalised Outfit Generation dataset. Automated scraping and cleaning of image data from e-commerce sites on Sagemaker; created web apps for faster annotation of the obtained products' features and the generated outfits' rating by fashion experts.
S

Finalist

Smart India Hackathon 2020Nov 2019 - Jul 2020 • 9 mosCollaborated with a team using Agile methodology to provide solutions for ensuring road safety and vehicle tracking to the Govt. of Madhya Pradesh. Performed data cleaning, feature engineering and supervised learning on 10,000+ image logs from live input to prepare models to identify characteristics of cars.

Education

I

IIT Madras

BSc, Programming and Data Science
M

MRU

BTech, Major in CS, Minor in Data Science and ML

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
Pangea empowers fractional work across the world for marketing and design roles.