Raghav Gulati

AI Researcher

Delhi, India8 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expertise in Generative Deep Learning for NLP.
Experience with low resource Eastern European languages.
Proven track record in AI and game development.

Stackforce AI infers this person is a skilled AI and Game Development professional with a focus on NLP.

Contact

Skills

Core Skills

Natural Language ProcessingDeep LearningComputer ScienceGame Development

Other Skills

Natural Language GenerationComputer VisionKerasTheanoMATLABC++Unity 3DC#SQLMachine LearningData StructuresVLSIAlgorithmsProgrammingImage Processing

About

Through the years I have developed a keen interest in NLP, especially Generative Deep Learning for NLP. I have developed working expertise on low resource languages such as Eastern European languages.

Experience

Microsoft

2 roles

Senior Applied Scientist

Promoted

Feb 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Data and Applied Scientist 2

Apr 2021 – Sep 2023 · 2 yrs 5 mos · Bengaluru, Karnataka, India

Natural Language GenerationNatural Language ProcessingDeep Learning

Amazon

Applied Scientist 2

Sep 2023 – Jan 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

Magicpin (samast technologies)

Machine Learning Researcher

Jul 2019 – Mar 2021 · 1 yr 8 mos

Natural Language GenerationNatural Language Processing

Samsung india

Engineer

Jul 2017 – Jul 2019 · 2 yrs · Delhi Area, India

Kaist

Research Internship

May 2016 – Jul 2016 · 2 mos

Area- Deep Learning and Computer Vision.
Image IN-painting using Deep Convolutional Generative Networks (DC-GAN).
Possible Publication in a reputed International Conference.
Technologies Used:
Keras
Theano
SSH-Putty
MobaXterm

Deep LearningComputer Vision

Hanyang university

Summer Research Intern

May 2015 – Jul 2015 · 2 mos · Ansan, Gyeonggi-do, Korea

As a Global Capstone project Intern my work was to develop an automatic Histogram Specification algorithm for Contrast Enhancement of Gray-scale Images. We first first modeled the data as a polynomial using the Gradient Descent Optimization and then using this polynomial and the Fuzzy Logic system we developed an algorithm to generate the PDF(Probability Density Function) and used it further to generate the enhanced image.
I also worked on another idea, Interval Type-2 Fuzzy Radial Basis Function Neural Networks, in which we proposed a simple and fast IT2 fuzzy radial basis function neural network (IT2 FRBFNN) which applies IT2 fuzzy systems into conventional RBFNN.
Technologies Used:-
MATLAB
C++

MATLABC++Computer Science

Real yaguzone

Game Programmer and Developer

May 2015 – Jul 2015 · 2 mos · Gangnam-gu, Seoul, Korea

As a member of a team of 15 to develop a virtual reality Baseball Game, i was assigned to develop an infinite running game (like Temple Run, Subway Surfers) for Android Platform. The running game was then linked to the desktop version of the game through an SQL database which managed the training in running, each player of the team had received.
Technologies Used:-
Unity 3D game engine
C# scripting language
Mechanim asset design software
Visual Studio

Unity 3DC#Game Development