Driven by a desire to contribute to meaningful endeavors, I am dedicated to being part of organizations with a clear mission, cohesive teams, and a strong sense of purpose.
Hello! I am Yudhik, a passionate software developer and experienced competitive programmer currently serving as an Associate within Goldman Sachs's Product Data team. In this role, I actively contribute to a platform responsible for delivering high-quality data services that empower and drive the firm's operations.
Throughout my academic journey, I consistently ranked among the top 3% of students in Computer Science at IIIT Hyderabad, both during my undergraduate and master's degree. My research work within the Cognitive Science Lab under the advisorship of
Vinoo Alluri
, focused on
unraveling individual differences, such as personality traits, through the analysis of musical behavior
. In addition, I made significant contributions in the research surrounding improvement of song recommendation systems, with top-tier publications in ISMIR, ECIR, and BigMM. Notably, my most significant accomplishment was the publication of a groundbreaking research paper in Scientific Reports, a prestigious journal published by Nature. My exceptional achievements in research and academics were recognized through the prestigious Huawei Scholarship of Excellence.
Previously, I developed my proficiency in Deep Leaning working as a Research Assitant at the Centre for Visual Information Technology (CVIT) with
Dr. Avinash Sharma
, on projects involving 3D human body reconstruction, registration, and the generation of temporally coherent sequences of human actions. Our research findings were successfully presented at renowned conferences including WACV and ICCV. I also worked in Robotics Research Center (RRC) with Dr. K. Madhava Krishna, on avoiding Drone Collisions by Path Planning after doing 3D reconstruction of the surrounding obstacles(eg. Humans) which need not be static.
Beyond my professional pursuits, I am deeply passionate about maintaining a healthy lifestyle, exploring the realm of finance, and engaging in complex problem-solving activities.
This program is about science - but it is not limited to the way science is traditionally practiced. This is also about computer science and IT - but it is not about creating IT professionals. It is about the science that is emerging in the interface of the information revolution and the challenges posed by some of the grave issues and problems in today's world. From newer ways of acquisition and management of multivariate data on complex natural systems to newer ways of deriving knowledge from the data using novel methods of data visualization and computational simulation, the world today needs a different breed of enabled scientists who are ready to navigate this interface. This program is for those who have the inner desire to take on these grand scientific challenges.
Developed a Transformer-based network architecture that, given the lyrics, outputs the classification of Emotion Quadrants, in addition to Valence and Arousal Hemispheres.
Developed a Software-as-a-Service which can analyze/interpret the video, trimming relevant part of the video and can also search through video using image or text. This project has 4 pipelines dealing with Trimming the video based on the query, indexing video based on text and making notes of the video, subtitle, and sentimental-analysis online and Video Dubbing using GANS.
Presentation Link
Developed a Tk GUI toolkit which finds 3D mesh of a human body from a monocular RGB Image/Video using state-of-the-art Deep Learning network.
View ProjectDeveloped a search bar on top of the StackOverflow API which provides more relevant thread results based on the search and also re-order the answers based on various NLP techniques like text-similarity(USE), statistical analysis and semantic analysis.
View ProjectDeveloped an algorithm to estimate heart rate from the periodicity of the PPG signal as Each cycle of the PPG signal corresponds to a cardiac cycle. Fitness tracking is gaining massive popularity due to the advent of wearable devices that can track your vital signs. Heart rate monitoring is one such feature in many devices such as smart-watches and wristbands.
View Project An AI bot playing connect 4 using alpha-beta pruning and minimax algorithm. Works on 5 levels depending on the depth till which the AI bot predicts the moves. We gain go much depth by using Zobrist Hashing.
Everything is done in C++.
Developed a Bash like terminal in C using Linux system calls which includes user-defined commands, piping and redirection, and signal-handling.
View ProjectTunnel Rush is a fast-paced dodging game inspired by Slope and Run 3. In this you are moving in a tunnel full of color at a blazing speed and need to avoid obstacles in different shapes. also player needs to be very agile and precise to see the position of the incoming obstacle and quickly shift your position away to avoid it. Stay focused and break your record!
View Project Texture Synthesis: Given a finite sample of some texture, the goal is to synthesize other samples from that same texture. In this, finding the nature of the image and adjusting the parameters are handled by the algorithm dynamically.
Texture Transfer: Take the texture from one object and ‘paint’ it onto another object.
Hops while using Tor is very dynamic which causes the searches and other things to be affected by the location of the hop. This decreases the effectiveness of using Tor to some extent. We provided a solution by managing the second last hop to a specific location which greatly improves the efficiency of using Tor.
View ProjectUnlike every other Twitter Sentimental Analysis, this web app provides much more easy to control features like evaluation WordCloud for the query and it also has the algorithm for making HeatMap. This app also does Semantic Analysis and classify into many categories making it a much more powerful and useful.
View Project