Ramsri Goutham Golla
Computer VisionAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Data Scientist at Knownwell.com 👨💻 Also a founder bootstrapping 3 AI SaaS Apps to $100k ARR with no employees: AiArtist.io || Questgen.ai || Supermeme.ai ||
I am Ramsri with over 12+ years of experience in AI and product development, spanning computer vision and natural language processing domains. I am also the founder of Questgen.ai and Supermeme.ai, two revenue-making NLP SaaS apps that automate quiz generation and meme creation using state-of-the-art AI models. Additionally, I teach NLP and AI SaaS courses on my website LearnNLP Academy and share my learnings and insights from building practical AI projects on my Medium blog, Twitter, and YouTube channels. My mission is to bridge the gap between cutting-edge AI research and real-world use cases, and to empower and educate others with my knowledge and skills.
Udacity
Natural Language Processing Nanodegree, Artificial Intelligence
January 1, 2019 – January 1, 2019
Udacity
Flying Car Nanodegree Program , Aerial autonomous robots
January 1, 2018 – January 1, 2018
Udacity
Self Driving Car Engineer Nanodegree (Term1), Deep Learning and Computer Vision
January 1, 2016 – January 1, 2017
Arizona State University
Masters, Image and Signal Processing
January 1, 2011 – January 1, 2013
Birla Institute of Technology and Science, Pilani
B.E(Hons), Electrical & Electronics Engineering
January 1, 2007 – January 1, 2011
AiArtist.io
Founder
February 1, 2026 – Present
Hyderabad, Telangana, India · Remote
Knownwell
Lead Data Scientist
June 1, 2024 – Present
Remote · Remote
Segmind
Fractional Developer Advocate
August 1, 2023 – February 1, 2024
Hyderabad, Telangana, India · Remote
Supermeme.ai
Cofounder and Chief AI Officer
January 1, 2022 – Present
Hyderabad, Telangana, India
AarogyaAI
Lead Data Science Consultant
December 1, 2020 – January 1, 2022
Hyderabad, Telangana, India
Right-Hand Cybersecurity
Lead Data Scientist (NLP & ML)
April 1, 2020 – July 1, 2020
Questgen.ai
Founder
October 1, 2019 – Present
Hyderabad Area, India
Aurora: AI-Assisted Assessments
Co-Founder and CTO
January 1, 2019 – October 1, 2019
Singapore
Entrepreneur First
EFSG4 & EFSG5 Entrepreneur In Residence
June 1, 2018 – August 1, 2019
Singapore
Aiartist
Builder
March 1, 2018 – January 1, 2019
Hyderabad Area, India
Intuitive Surgical
Software Engineer - Vision Team
September 1, 2014 – March 1, 2018
Sunnyvale, California, USA
Viblio
Computer Vision Software developer
July 1, 2013 – August 1, 2014
Palo Alto, California, USA
Department of BioInformatics ASU-Mayo Clinic
Student Researcher
September 1, 2012 – May 1, 2013
Scottsdale, Arizona, USA
Neural Control of Movement Laboratory, Arizona State University.
Student Researcher
January 1, 2012 – August 1, 2012
Tempe, Arizona, USA
Marvell Semiconductors
Software Engineering Intern
July 1, 2010 – December 1, 2010
Bangalore , India
Raaga Associates
Summer Internship
May 1, 2009 – July 1, 2009
Hyderabad Area, India
Traffic Sign Classification with Deep Learning
January 1, 2017 – Present
Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.
Lane Detection on Road
December 1, 2016 – Present
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
Restaurant Content Management System
October 1, 2015 – Present
Implemented a restaurant menu web app with CRUD(Create, Read, Update and Delete) functionality using sqlalchemy Object Relational Mapper(ORM) to talk to the database(SQLite). Adding API interface to return requested data in JSON format. Technologies Used: Python Flask Web Framework, SqlAlchemy, SQLite
Response Website Design
September 1, 2015 – Present
Implemented a mock news web app using responsive web design. Used relative widths, media queries and breakpoints to change page layout dynamically with screen size. Used fluid grid system with BootStrap Framework.
3D Face Recognition using generalized multidimensional scaling (GMDS) algorithm.
November 1, 2012 – Present
• Implemented recognition of 3D faces using a metric space embedding algorithm generalized multidimensional scaling (GMDS) and comparing distortion stress between faces to categorize them. Technologies used : Matlab
Panorama app on Android using OpenCV
November 1, 2012 – Present
Developed an android application to capture several images and create a stitched panoramic image. Also implemented a video mode to create panoramic image from a captured video of the surroundings. Technologies used : Android SDK, Android NDK , OpenCV, Eclipse.
Pedestrian and car detection using Histogram Oriented Gradients
November 1, 2012 – Present
• Implemented detection of cars and pedestrians using histogram oriented gradient(HOG) features. Used linear support vector machine (SVM) classifier for training and testing. Technologies used : Matlab , Mex files
Spherical conformal parameterization with gradient descent method
November 1, 2012 – November 1, 2012
• Implemented spherical conformal parameterization of a brain cortical surface triangular mesh using gradient descent method to minimize harmonic energy. • Technologies used : C++ half edge data structure library, Microsoft Visual Studio 2010.
Affine motion model parameter estimation in video sequences using gradient descent method
October 1, 2012 – October 1, 2012
• Estimated motion in a video sequence using gradient descent method to estimate parameters of an affine motion model. • Technologies used : Matlab
Loop subdivision algorithm implementation for Triangular Meshes
October 1, 2012 – October 1, 2012
• Implemented loop subdivision algorithm used in computer graphics to create smooth surfaces by subdivision surface modeling. Technologies used : C++ half edge data structure library, Microsoft Visual Studio 2010.
Face recognition using PCA & Linear discriminant analysis.
September 1, 2012 – September 1, 2012
• Implemented face recognition using PCA & Fischer linear discriminant analysis on a database of 30 different faces each containing 20 images for training and testing. • Technologies used : Matlab
Three level hierarchical block matching algorithm(HBMA) implementation
September 1, 2012 – September 1, 2012
• Estimated motion in a video sequence using hierarchical block matching algorithm(HBMA) and compared the results with block matching algorithm(EBMA). Technologies used : Matlab
Calculating Normals, Partial Derivatives and Gaussian Curvature on Bezier Patches -Mathematica
September 1, 2012 – September 1, 2012
Implemented calculation of Gaussian curvature using De casteljau’s algorithm on parametric Bezier patches. Technologies used: Mathematica
Face detection using Viola Jones adaboost algorithm
August 1, 2012 – August 1, 2012
Basic implementation of Viola jones algorithm using haar features, adaboost algorithm and cascaded classifiers. Technologies used : Matlab
Implementation of LRFU cache replacement policy in Simple Scalar
April 1, 2012 – April 1, 2012
Implemented LRFU(Least recently and frequently used) cache replacement policy in simple scalar and did performance analysis in comparison with LRU and LFU cache replacement policies.
Assembly language Programming on TI & Freescale DSP processors
January 1, 2012 – Present
Implemented image and audio processing algorithms like histogram equalization, gray level transform, filtering, music synthesis, FFT, in assembly language on DSP56858 and TMS320C5510 processors as a part of Real-time digital signal processing course. The IDE used for DSP56858 is CodeWarrior and for TMS320C5510 is Code Composer Studio
Basis Function Comparison for Control Grid Interpolation approach for Motion Estimation
November 1, 2011 – December 1, 2011
Development of Bilinear, Radial and Inverse Distance Weighted Basis functions and their comparative performance evaluation for Control Grid Interpolation approach for Motion Estimation. Technologies used: Matlab,C.
OFDM simulation and performance analysis
November 1, 2011 – December 1, 2011
Simulation of OFDM system for speech transmission and performance evaluation in presence of channel noise and sub carrier loss due to deep fade frequencies. Technologies used: Matlab,C.
Fluid Flow quantification through Optical Flow Motion Estimation
October 1, 2011 – November 1, 2011
Estimation of fluid flow velocity in a video sequence using Lucas-Kanade approach for optical flow and comparison of block matching , horn-schunck motion estimation techniques with the Lucas-kanade technique. Technologies used: Matlab,C.
Extraction of tracks at angle 45 from Bubble Chamber
March 1, 2011 – April 1, 2011
Identification and extraction of tracks at angle 45 in images containing ionization track of charged particles in bubble chamber . Technologies used: Matlab,C.
Professional Assistant
February 1, 2011 – April 1, 2011
As a professional assistant for Communication Systems course, I coordinated the Lab Practicals in implementing the Modulation Techniques(Analog & Digital) & Filters on the hardware and also assisted in assessment during the Lab Exams conducted at the end of course.
Simulation of Doubly Fed Induction Generator
August 1, 2010 – November 1, 2010
A Simulink Model of DFIG Machine is developed and simulated for different wind velocities to check its reliability in hybird Grid systems. Softwares Used: MATLAB/Simulink
Shape reconstruction from images
May 1, 2010 – June 1, 2010
Depth map and perfect image of an object are reconstructed using several images of a particular object that have only certain regions in focus. Technologies used: Matlab,Simulink.
IP bot- Pool ball playing real-time image processing robot
January 1, 2010 – February 1, 2010
An autonomous robot capable of placing the pool balls of various colors into the holes of the pool table using real-time image processing was created. Technologies used: Matlab,Simulink.
Robotics: Aerial Robotics
Coursera Course Certificates
June 23, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's extensive personal projects and entrepreneurial ventures showcase a strong drive for innovation and continuous learning, which aligns well with a dynamic, research-oriented culture. The breadth of experience from academic research to industry roles (Intuitive Surgical, Viblio) and multiple startups demonstrates versatility and a willingness to tackle diverse challenges. The focus on AI/ML and Computer Vision across various applications (medical, robotics, generative AI) indicates a passion for the field and a strong alignment with a tech-forward environment.
Soft Skills & Operational Fit
The candidate's entrepreneurial background suggests strong initiative, problem-solving, and leadership. Experience in developer advocacy and community interaction indicates good communication and collaboration skills. The diverse project portfolio demonstrates adaptability and a proactive learning attitude. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.