Navaneeth Raghunath

Software Engineer

Mumbai, Maharashtra, India4 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Expertise in Deep Learning and NLP applications.
Strong foundation in Computer Science from BITS Pilani.
Experience with competitive projects in Image Processing.

Stackforce AI infers this person is a skilled software developer with a focus on AI and machine learning technologies.

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Skills

Other Skills

JavaDeep LearningNatural Language Processing (NLP)Machine LearningComputer VisionImage ProcessingPyTorchPython (Programming Language)C (Programming Language)C++

About

Software developer at Optiver. B.E. Computer Science at BITS Pilani, Pilani campus

Experience

4 yrs 4 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 8 mos

Current Experience

Optiver

Software Engineer

Oct 2024 – Present · 1 yr 8 mos · Mumbai, Maharashtra, India · On-site

The d. e. shaw group

2 roles

Senior Member Technical

Promoted

Dec 2023 – Oct 2024 · 10 mos · Hyderabad, Telangana, India

Member Technical

Jul 2022 – Dec 2023 · 1 yr 5 mos · Hyderabad, Telangana, India

Apple

Intern

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

The d. e. shaw group

Intern

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

Walmart labs india

Intern

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka

Birla institute of technology and science, pilani

Research Assistant

Jan 2020 – Jun 2020 · 5 mos · Pilani, Rajasthan

Study Oriented Project on the topic of Deep Learning and Image Processing under Department of CSIS, BITS Pilani.
Participated in the Image Dehazing challenge of the NTIRE 2020 competition under the Conference on Computer Vision and Pattern Recognition (CVPR) 2020.
The results of our model were published in the Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops as one of the successful entries.

Mindtree

Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka

Applied Deep Learning Techniques in NLP for joint modelling of intent and slot-filling for customer queries in an Airline Ticketing Information system. Worked with RNNs, LSTMs, Transformers, Attention models and Google's BERT on Pytorch.