Top Talent like Nikhil are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility 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.

Nikhil Dugar

AI & Machine Learning Engineer • Data Analyst • SF, CA, US
Natural Language Processing
Deep Learning
PyTorch
Tensorflow
Computer Vision
Machine Learning
OpenCV
Coding
AI
NumPy
Python
NLTK
Available for hire fromNegotiable
Contracts
Full-Time Roles
Machine Learning Engineer
An enthusiast of Machine Learning, Python, Natural Language Processing and Computer Vision. I have worked as a Computer Vision engineer at Awiros and at Personabo as a Machine Learning Engineer(NLP).

Projects

Conversation - Objective checking

• Worked on improving the Conversation-Objective checking using Deberta models via HuggingFace. • The Conversation-Objective checking was an NLP (Machine Learning over text) based problem where the goal was to detect whether the user, learning social skills via different scenarios, navigated through the conversation correctly and fulfilled objectives such as being polite, raising the XYZ question, bringing up the topic of ABC, etc. • For the solution to this problem, used multiple Deberta models like v2XXL, v3L, v2XL, etc., made by Microsoft. Fine-tuned them over multiple datasets, and after testing them over handcrafted datasets from user data, tested on different metrics to figure out what worked best for our purpose. • Worked on improving the Conversation-Objective checking using Deberta models via HuggingFace trained on PyTorch with Python. • Made Machine Learning with multiple datasets for the company using real-world data from the users. • Fine-tuned multiple Deberta models to improve the system's performance and give users correct results. Improved the existing system's accuracy by around 10% through the finetuning of Zero-shot models. The initial timeline was 6 months but was able to finish the work in around 5 months.See More

Work History

A

Computer Vision Engineer

AwirosMay 2022 - Apr 2024 • 2 yrsAs a Computer Vision Engineer, likely contributed to developing and optimizing computer vision algorithms, implementing machine learning models, and collaborating with cross-functional teams to enhance product features.
P

Junior Machine Learning Engineer

PersonaboOct 2021 - Mar 2022 • 6 mosPersonabo is a YC backed startup in Canada. Worked on improving the Conversation-Objective checking using Deberta models via HuggingFace. Made multiple datasets for the company using real-world data from the users. Improved existing system's accuracy by around 10% through finetuning Zero-shot models over multiple datasets.
B

Software Developer Intern

bigbasket.comJan 2021 - Jul 2021 • 7 mosPart of the team building the next phase of the BigBaskets technology BB2.0, by rewriting the core functionalities as highly configurable, reliable, and available microservices to incorporate dynamic business decisions and an ever-growing customer base. Working on resolving various issues while learning the multiple technologies involved. Learned software engineering process made multiple improvements while following best practices. Upgraded and added APIs to maintain smooth-running systems for the upcoming systems. Collaborated effectively with members of the software development team and personnel in other departments.

Education

N

NIIT University

Bachelor of Technology, Computer Science2017 - 2021
B

Bhartiya Vidya Mandir Kolkata

High School Graduate, Computer Science2003 - 2017

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 Engineer
An enthusiast of Machine Learning, Python, Natural Language Processing and Computer Vision. I have worked as a Computer Vision engineer at Awiros and at Personabo as a Machine Learning Engineer(NLP).

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 Nikhil are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility 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.

Nikhil Dugar

AI & Machine Learning Engineer • Data Analyst • SF, CA, US
Natural Language Processing
Deep Learning
PyTorch
Tensorflow
Computer Vision
Machine Learning
OpenCV
Coding
AI
NumPy
Python
NLTK
Available for hire fromNegotiable
Contracts
Full-Time Roles

Projects

Conversation - Objective checking

• Worked on improving the Conversation-Objective checking using Deberta models via HuggingFace. • The Conversation-Objective checking was an NLP (Machine Learning over text) based problem where the goal was to detect whether the user, learning social skills via different scenarios, navigated through the conversation correctly and fulfilled objectives such as being polite, raising the XYZ question, bringing up the topic of ABC, etc. • For the solution to this problem, used multiple Deberta models like v2XXL, v3L, v2XL, etc., made by Microsoft. Fine-tuned them over multiple datasets, and after testing them over handcrafted datasets from user data, tested on different metrics to figure out what worked best for our purpose. • Worked on improving the Conversation-Objective checking using Deberta models via HuggingFace trained on PyTorch with Python. • Made Machine Learning with multiple datasets for the company using real-world data from the users. • Fine-tuned multiple Deberta models to improve the system's performance and give users correct results. Improved the existing system's accuracy by around 10% through the finetuning of Zero-shot models. The initial timeline was 6 months but was able to finish the work in around 5 months.

Work History

A

Computer Vision Engineer

AwirosMay 2022 - Apr 2024 • 2 yrsAs a Computer Vision Engineer, likely contributed to developing and optimizing computer vision algorithms, implementing machine learning models, and collaborating with cross-functional teams to enhance product features.
P

Junior Machine Learning Engineer

PersonaboOct 2021 - Mar 2022 • 6 mosPersonabo is a YC backed startup in Canada. Worked on improving the Conversation-Objective checking using Deberta models via HuggingFace. Made multiple datasets for the company using real-world data from the users. Improved existing system's accuracy by around 10% through finetuning Zero-shot models over multiple datasets.
B

Software Developer Intern

bigbasket.comJan 2021 - Jul 2021 • 7 mosPart of the team building the next phase of the BigBaskets technology BB2.0, by rewriting the core functionalities as highly configurable, reliable, and available microservices to incorporate dynamic business decisions and an ever-growing customer base. Working on resolving various issues while learning the multiple technologies involved. Learned software engineering process made multiple improvements while following best practices. Upgraded and added APIs to maintain smooth-running systems for the upcoming systems. Collaborated effectively with members of the software development team and personnel in other departments.

Education

N

NIIT University

Bachelor of Technology, Computer Science2017 - 2021
B

Bhartiya Vidya Mandir Kolkata

High School Graduate, Computer Science2003 - 2017

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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