Hi, I'm Yogeshvar
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21 | Machine Learning & Artificial Intelligence | Software Engineering | Data Science
ContactAbout
My Introduction
I am a Masterās student in Computer Science at The Pennsylvania State
University, passionate about Artificial Intelligence (AI), Machine
Learning (ML), Natural Language Processing (NLP), and Software
Development. With a strong foundation in backend engineering, cloud
computing, and data science, I am dedicated to developing scalable and
efficient solutions for real-world challenges. My expertise lies in
building AI-powered applications, optimizing IT systems, and
integrating machine learning into business and research solutions. I
have gained hands-on experience as a Learning and Research Assistant
at Penn State, where I worked on AI-driven security systems,
blockchain-integrated sentiment analysis, and distributed computing
environments. Previously, as an Undergraduate Research Assistant at
SRM University, I contributed to published research on hybrid AI
models for time-series forecasting and NLP-based sentiment analysis,
leading to multiple publications. In addition to my research, I
have industry experience I have taken on
leadership roles in student organizations, including working with startups in Hatch lab ecell and
the IR Council, where I mentored students in AI, ML, and software
development. I enjoy collaborating on cross-disciplinary projects,
exploring AI advancements, and contributing to open-source
innovations.
I am looking for summer internship in AI/ML, Data Science or Software Engineering, where I can apply my technical expertise
and problem-solving skills to drive innovation and build impactful
technology solutions. Letās connect!
Experience
My journey in the academic & professional frontM.S - Computer Science and Engineering
The Pennsylvania State University, USAB.Tech - Computer Science and Engineering
SRM University, IndiaClass XII
Maths, Physics, Chemistry | Narayana Jr college, IndiaClass X
Andhra Pradesh State Board of Secondary Education | Kennedy High School, IndiaLearning and Research Assistant
Penn State University, USAComputer Science Grader
Penn State University, USACore Team & Tech Lead
Project_Volta, SRM University APTeam Member
IR Council, SRM University APResearch Internship
Deakin University (Remote)Data Science Intern
Insignia Consultancy Solutions (Remote)Web Development Intern
Oasis InfobyteCore Member
Industry Owl, SRM ECellInformation Technology Intern
CHEARS | Innovating with technologyAssociate
Next Tech Lab, APSalesforce Developer Intern
TheSmartBridgeSkills
My technical & other skillsAI & ML
3+ Years XPComputer Vision
95%Generative AI
95%Natural Language Processing
95%Probability & Statistics
80%Data Analytics & Visualization
85%Frameworks & Libraries
90%Programming
3+ Years XPPython
95%SQL
75%C++/C
90%Java
70%Computing
3+ Years XPGPU & Distributed Computing
90%Front End
1+ Years XPHTML
90%CSS
85%JavaScript
75%React JS
65%React Native
65%BackEnd
1+ Years XPPython - Flask, Fast API
95%Firebase
65%Java - Spring Framework
55%Node JS, Express JS
60%Misc
1+ Years XPGit
90%Linux
90%Research
My Research Publications & ContributionsAdvancements in Sentiment Analysis: A Deep Learning Approach
Focus: Deep learning techniques for sentiment analysis.
View PublicationComparative Study on Sentiment Analysis Using Machine Learning Techniques
Focus: Comparative analysis of machine learning models for sentiment classification.
View PublicationEnhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model
Focus: Time series forecasting using hybrid ARIMA and LSTM models.
View PublicationProjects
My Independent Projects & ContributionsModiCross: Two-Stage Document Ranking Using Cross-Encoder
Goal: Improve passage reranking using a pre-trained transformer model with novel scoring techniques. Developed a Modified CrossEncoder by implementing a two-stage document ranking system with a novel scoring mechanism (logits extraction + cosine similarity), leading to a 0.26 improvement in nDCG@10 over standard CrossEncoders. Trained the model on 96,923 query-document pairs, using hard negative mining and a combined loss function (sigmoid cross-entropy + cosine similarity loss), resulting in a 50%+ increase in ranking precision. Validated the approach across four key ranking metrics (P@10, nDCG@10, AP@100, RR@100), proving its superior accuracy and efficiency for real-world search engines.
View Full PaperFaulty Science Question Analysis with Pretrained Transformers
Goal: Leveraged transformers like BERT and RoBERTa to identify flawed science questions and misconceptions. Analyzed the ability of BERT and RoBERTa to classify faulty science questions across multiple disciplines (e.g., physics, math) by testing them on a curated dataset of X questions. Implemented data preprocessing (tokenization, label encoding), fine-tuned transformer models with optimized hyperparameters, and evaluated performance using 4 key metrics (accuracy, precision, recall, F1-score). Achieved up to 91% accuracy in detecting faulty questions, highlighting both modelsā strengths in classification but also their 2 major weaknessesādifficulty handling highly ambiguous questions and subtle logical inconsistencies.
View Full PaperTravel Management System
Goal: Created a seamless system to manage booking history and personalized trip planning. Developed a web-based Travel Management System using Java, Node.js, HTML, CSS, and MongoDB to enable users to browse, book, and manage travel packages. Implemented an admin dashboard, secure payment gateway, and AI-powered travel recommendations to enhance user experience and streamline operations. Integrated real-time itinerary management, booking history tracking, and customer inquiry support to ensure seamless travel planning and management.
View Project DocumentPredictive Modeling of Fish Lifespan
Goal: Compared algorithms like Lasso Regression, Ridge Regression, etc., to analyze fish lifespan.
In process of journalSkin Cancer Detection via Image Segmentation
Goal: Implemented SVM and CNN models to automate detection and classification of skin lesions. Developed an automated skin cancer detection system by implementing image segmentation and One-Class SVM on 1000+ images, which led to 85% accuracy in distinguishing cancerous from non-cancerous lesions. Extracted HOG-based texture and shape features by implementing gradient-based feature analysis on segmented images, which led to a 30% reduction in false positives and improved classification performance. Optimized model performance by implementing precision, recall, and F1-score evaluation on 500+ test images, which led to a 20% improvement in early skin cancer detection capability.
View Project DocumentAchievements
Key Accomplishments & RecognitionsGold Medal in AI-ML Category in 5th Edition Research Day SRM University AP
SRM-AP University in recognition of the importance of research work has declared October 1 to be a Research Day. On this occation me and my fellow frriends presented our research works in the category or AIMl and won this award.
Member of Hatch Lab SRMAP E-Cell
I had the opportunity to collaborate with Hatch Labāan innovative incubator that supports early-stage startups in transforming real-life challenges into viable business solutions. Aligned with Hatch Labās mission to foster a conducive environment for emerging ventures, I worked closely with E-Cell to develop and refine entrepreneurial ideas. This included conceptualizing business models, engaging in problem-solving workshops, and exploring potential market applications of our proposed solutions. Through this collaborative ecosystem, I gained firsthand experience in validating startup ideas, leveraging mentorship resources, and positioning our projects to deliver measurable social impact..
Best Entrepreneur Award in AMEYA 2k23 (Business Fest), Paari School of Business AP
I was honored with the Best Entrepreneur Award at AMEYA 2K23, the prestigious Business Fest organized by the Paari School of Business, SRM University-AP. This award recognized my innovative approach, business acumen, and leadership in the entrepreneurial domain. Competing among students from various institutions, I presented a comprehensive business model that demonstrated scalability, problem-solving capabilities, and real-world impact. The event brought together aspiring entrepreneurs, industry experts, and business professionals, providing a platform to pitch ideas, engage in networking, and refine business strategies. Winning this award was a testament to my passion for entrepreneurship, innovation, and startup development, further motivating me to continue exploring and building market-driven solutions that create a tangible difference.
Extracurricular Activities
Engagements & Leadership Roles-
Co-Founder at Volta
Contributed to a technology-driven initiative that encourages students to innovate, collaborate, and create impactful projects. Helped organize hackathons, networking sessions, and ideation workshops to foster a spirit of entrepreneurship and community engagement.
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Team Lead at E-Cell, SRM University AP
Organized numerous workshops on entrepreneurship and product building, reaching over 3,000 students. Spearheaded pitch deck sessions, industrial visits, and mentorship programs, enabling participants to refine their business ideas and connect with industry professionals.
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Member of Elon Fellowship, SRM University AP
Focused on translating academic research into viable startups, helping identify and incubate projects with high commercial potential. This fellowship nurtured an innovation-driven mindset, encouraging the development of original solutions and fostering an entrepreneurial culture.
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IR Council Member, International Relations (IR) Office, SRM University AP
Collaborated with the Office of International Relations & Higher Studies to broaden global outreach. Organized and volunteered for workshops, webinars, and cultural exchange programs, ensuring students benefited from diverse international opportunities and partnerships.
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Core Member at Indian Graduate Student Association (IGSA), Penn State
Actively involved in planning and hosting cultural and networking events for Indian graduate students and researchers at Penn State. Supports new studentsā transition into campus life, fosters community engagement, and facilitates cross-cultural dialogue through collaboration with other student organizations.