Aditya Singh Email & Phone Number

Castile, Ny, Us

Florham Park, New Jersey, United States

Developed and maintained RESTful APIs and webhook integrations between iCIMS and Enboarder, optimizing HR processes by facilitating seamless data flow between platforms to enhance employee onboarding and management.Automated HR workflows with Google Apps Script, reducing manual effort and ensuring consistent, efficient operations in data handling and reporting.Ensured real-time synchronization of employee data across various HR platforms, improving accuracy and visibility in HR processes and supporting decision-making.Used Postman to rigorously test and validate API requests, ensuring robust, error-free integrations that met all functional and security requirements.Leveraged MySQL Workbench for database management, including the creation and maintenance of tables, stored procedures, and complex queries to support data retrieval and storage needs.Collaborated on development and tracking tasks within JIRA, ensuring clear communication, prioritization, and efficient task management across the project lifecycle.Built interactive dashboards and visual reports in Looker Studio, providing stakeholders with valuable insights into HR metrics and onboarding performance.Designed and customized front-end interfaces using UI Bakery, improving user experience and ensuring that internal tools are intuitive and accessible to non-technical staff.Maintained up-to-date documentation for all API endpoints, workflows, and processes, allowing for easy onboarding of new developers and ensuring smooth handovers.

Buffalo, New York, United States

Dense Video Captioning ResearcherAs a Dense Video Captioning Researcher, I spearhead the development of advanced models for generating meaningful captions in real-time for soccer net videos. Leveraging cutting-edge technologies such as Python, PyTorch, and Deep Learning, I lead a multidisciplinary team in the implementation and optimization of the VideoBERT model, a groundbreaking joint model for Video and Language Representation Learning, proposed by Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, and Cordelia Schmid.My responsibilities include:Data Loading: Developing efficient data loading pipelines for handling large-scale video datasets.Model Architecture: Designing and fine-tuning the model architecture, incorporating multimodal features from video frames and textual descriptions.Natural Language Processing: Integrating NLP techniques such as BERT, LSTM, and word embeddings (word2vec, GloVe) to understand and generate contextually relevant captions.Evaluation and Metrics: Implementing and evaluating model performance using standard NLP evaluation metrics such as BLEU, METEOR, ROUGE, and CIDEr.Collaborative Research: Collaborating with domain experts to gather insights and refine the model for specific applications, focusing on soccer net videos.By leveraging state-of-the-art techniques such as CNNs, RNNs, and attention mechanisms, I drive innovation in dense video captioning, enabling automated analysis and understanding of dynamic soccer net scenes. My work contributes to advancements in both computer vision and natural language processing, with implications for various applications in sports analytics, content generation, and accessibility.

Buffalo, New York, United States

Residential Access Management Specialist | Housing ManagementAs a Residential Access Management Specialist, I played a pivotal role in ensuring secure and efficient access for residents within university housing facilities. Leveraging my expertise in software systems administration and strong leadership skills, I successfully managed various aspects of access control and resident data management.Key Responsibilities and Achievements:Access Control Management: Managed UB ID card access, resolving exterior apartment door access concerns and providing seamless access solutions for residents.Software Proficiency: Demonstrated expertise in StarRez software for streamlined resident data management, overseeing software issue resolution, and playing a key role in managing mail forwarding software.Leadership and Teamwork: Nurtured leadership and teamwork skills through collaborative projects, leading ID card creation initiatives, and providing a solid foundation for addressing complex challenges in housing management and software systems.Technical Proficiency: Strengthened technical prowess in health care systems, application engineering, and statistical data analysis, gaining proficiency in Microsoft Excel, Python programming, SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS). Also experienced in computer network operations, computer maintenance, and hardware troubleshooting.Communication and Coordination: Gained proficiency in effective communication and coordination within diverse teams, ensuring smooth operations and resident satisfaction.I improved residential security and resident experience by managing software, granting ID card access, and resolving software/hardware issues. My proficiency in access management, software administration, and diverse technical skills has optimized housing operations and enhanced resident satisfaction.

Mumbai, Maharashtra, India

Designed and developed a Water Quality Monitoring System during the internship at Trans Asian Chamber of Commerce and Industry.Employed Arduino for seamless integration of sensors and communication modules.Utilized advanced sensors for precise measurements of pH, temperature, and turbidity.Integrated a GSM module for real-time alerts and notifications.Developed a web-based user interface using HTML, CSS, and JavaScript for efficient data display.Implemented MySQL for effective data storage, retrieval, and trend analysis.Ensured the system provided accurate sensor integration and real-time data acquisition.Enabled prompt detection of deviations from safe water quality levels, ensuring timely stakeholder alerts.Demonstrated proficiency in IoT technologies and showcased project leadership with tangible, impactful results.Designed the system to allow secure remote access for prompt corrective action from any internet-connected location.

Pune, Maharashtra, India

Collaborated with a team to conceptualize and develop a Speech Emotion Recognition system during the internship at TechSmartSys Pvt. Ltd.Applied a combination of machine learning and deep learning techniques to create the system.Specialized in working with audio data, extracting detailed features such as Mel Frequency Cepstrum Coefficients, Chroma, and Mel Spectrogram Frequency utilizing the advanced Librosa library.Utilized the extracted audio features for training a dynamic speech emotion recognition model.Achieved a noteworthy 73% accuracy using the Multi-layer Perceptron Classifier, demonstrating strong model performance.Played a crucial role in the development and implementation of the system, contributing to its success in accurately recognizing emotions in speech data.

Mumbai, Maharashtra, India

As a Software Engineer Intern at RoboSync, Mumbai, India, during my tenure from August 2019 to November 2019, I undertook the following responsibilities:Took charge of spearheading the development and rigorous testing of various tools, ensuring seamless workflows, and deploying code that was production-ready.Collaborated closely with the team on refining the product roadmap, contributing to the planning of new feature launches scheduled for the next six months.Demonstrated proficiency in user support by efficiently troubleshooting and rectifying issues, achieving an impressive 80% success rate in issue resolution.

Master'S Degree, Computer Science And Engineering

Machine Learning, Database Management and query languages, Data Mining and Bioinformatics, Analysis of Algorithms, Distributed Systems.

Be - Bachelor Of Engineering, Computer Engineering, 3.62/4

Activities and Societies: CSI (Computer Society of India), Technical Head Aug 2020-May 2021 ● Led and managed national-level annual.

High School Diploma, Science, 92 %