{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Senior Software Engineer","company":"OCIO Technology","location":"Mumbai, IN","range":"October 2025 - Present","url":"https://ociotechnology.com/"},"html":"\n- Led cross-functional initiatives involving engineering, product, and external vendors to deliver critical platform integrations and business capabilities.
\n- Owned end-to-end delivery of critical systems from architecture and implementation through production operations and continuous improvement.
\n- Designed database migration and rollout processes supporting zero-downtime deployments across production environments.
\n- Designed asynchronous event-driven workflows using queues and background workers to process high-volume API traffic while maintaining reliability under peak load.
\n- Designed and implemented AI-powered data extraction and normalization pipelines using LLMs to transform unstructured third-party data into standardized business entities.
\n- Built intelligent workflow automation leveraging LLM APIs to reduce manual processing and improve operational efficiency.
\n- Developed AI-assisted validation and enrichment services that increased data quality across multiple third-party integrations.
\n- Integrated generative AI capabilities into customer-facing and internal applications through secure, scalable API architectures.
\n
"}},{"node":{"frontmatter":{"title":"Senior Full Stack Engineer","company":"TekSolve IT Solutions","location":"Remote US","range":"Feb 2023 - Jun 2025","url":"https://teksolveit.com/"},"html":"\n- Designed a Microservices-based application using Django, FastAPI for backend services, MongoDB for NoSQL data storage, and Docker for containerization, enhancing scalability and resource utilization by 40%.
\n- Enhanced MapReduce job performance by fine-tuning the algorithm, reducing processing time by 30%.
\n- Integrated state management libraries (Redux and Vuex), enhancing application maintainability and scalability.
\n- Implemented Kafka Streams for real-time data analytics, enabling near-instant insights and decision-making.
\n- Deployed machine learning models through Django-powered dashboards, facilitating direct user interaction through an intuitive web interface and accelerating model deployment time by 30%.
\n- Developed Spark applications for real-time and batch data processing, integrating with Hadoop and Kafka for a robust data pipeline.
\n- Orchestrated ML workflows using AWS Step Functions, automating end-to-end pipelines for large-scale data processing, feature engineering, model training, evaluation, and inference, and monitoring pipeline execution for resource constraints achieving 30% reduction in execution time and 50% decrease in errors.
\n- Engineered and executed robust A/B testing frameworks, rigorously assessing model performance; facilitated smooth model version transitions, enhancing accuracy by 20% and cutting transition errors by 30%.
\n- Applied advanced machine learning techniques, including supervised and unsupervised learning, deep learning, and ensemble methods, to solve complex business problems.
\n- Developed and implemented predictive models, leveraging statistical modeling, regression analysis, and machine learning algorithms for accurate forecasting.
\n- Utilized Python, SQL, and AWS to effectively apply data science techniques such as exploratory data analysis, machine learning model development, and custom data visualization creation, enabling efficient analysis and interpretation of complex datasets.
\n- Collaborated closely with cross-functional teams and adhered to agile processes to deliver robust, secure, and scalable solutions for machine learning products, fostering enhanced reliability and adaptability in the software development lifecycle.
\n
"}},{"node":{"frontmatter":{"title":"Graduate Assistant","company":"University at Buffalo, SUNY","location":"Buffalo, NY","range":"Jan 2022 - May 2022","url":"https://ed.buffalo.edu/faculty-staff/it-support/labs-classrooms/data-analysis-lab.html"},"html":"\n- Provided expert guidance and consultation as a Quantitative Lab Consultant, mentoring a diverse group of 100 students in conducting quantitative analysis for their research projects. Assisted students in various stages of their projects, including hypothesis testing, regression analysis, and model tuning.
\n- Utilized R, Python, SPSS, and SAS to modify statistical models and evaluation designs, optimizing regression and classification models. Employed data imputation techniques to handle missing data, improving the quality and completeness of the analysis.
\n- Achieved a remarkable 10% improvement in model performance by implementing advanced techniques such as comprehensive evaluations and fine-tuning. Identified the best predictors and factors through rigorous analysis, ensuring robust and accurate results.
\n
"}},{"node":{"frontmatter":{"title":"Associate Systems Analyst","company":"NSEIT Limited","location":"Mumbai, IN","range":"July 2019 - July 2021","url":"https://www.nseit.com/"},"html":"\n- Architected scalable REST APIs using Java and Spring Boot, facilitating seamless data exchange and achieving a 30% improvement in system performance.
\n- Enhanced backend data processing by implementing efficient Spring Data JPA repositories, resulting in a 30% improvement in database query performance.
\n- Optimized database performance by fine-tuning SQL queries, reducing query execution time by 40%.
\n- Connected Spring Boot applications with Kubernetes for efficient management and scaling of microservices.
\n- Incorporated third-party services through REST APIs using Spring Boot, extending application functionality and improving data integration efficiency by 35%.
\n- Engineered containerized solutions for machine learning models using Docker, ensuring seamless integration within the stock exchange back-office environment and reducing downtime by 50%, while enabling effortless scalability.
\n- Excelled in software development by designing and implementing a scalable software API using Java, PL/SQL, Struts, Hibernate, and Spring MVC within Agile (Scrum) environments.
\n- Demonstrated expertise in code reviews, unit testing, and debugging, resulting in elevated software quality and performance.
\n- Spearheaded process optimization efforts by identifying automation opportunities and calculating FTE (Full-Time Equivalent) benefits and effort estimates. Successfully leveraged RPA tools like Automation Anywhere and UiPath to automate complex business processes, achieving a remarkable ROI of over 60%.
\n
"}}]}}}