Pranav Bilwanikar

Software Engineer

Bengaluru, Karnataka, India3 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Proven ability to deliver high-impact solutions
Recognized with multiple awards for exceptional performance
Expertise in optimizing system performance and reliability

Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in microservices and data analysis.

Contact

Skills

Core Skills

MicroservicesJavaRestful ApisComputer VisionData Analysis

Other Skills

Amazon S3Data VisualizationDeep LearningDistributed SystemsDocumentationFlaskGeospatial AnalysisGoogle Cloud Platform (GCP)JUnitJenkinsMachine LearningMongoDBMySQLOracle SQL DeveloperPostgreSQL

About

Dynamic and results-driven Software Engineer with 3 years of experience in designing, developing, and deploying scalable microservices and RESTful APIs for the banking domain. Proven ability to deliver high-impact solutions, optimise system performance, and resolve production-level issues under critical timelines. Adept in Java, Spring Boot, SQL, Microservices, and Hadoop with a track record of reducing failure rates and improving system reliability. Recognised with multiple awards for exceptional performance and innovation. 📧pranavbilwanikar20@gmail.com

Experience

Hsbc

2 roles

Software Engineer

Feb 2023 – Present · 3 yrs 1 mo · Pune, Maharashtra, India

Collaborated on designing, developing, and maintaining RESTful APIs for diverse banking applications. Created comprehensive Swagger docs, enhancing accessibility and clarity for both internal and external stakeholders. Led migration of legacy systems to microservices architecture, resulting in elevated scalability and maintenance efficiency.
Orchestrated seamless onboarding of a Spring Boot microservice, optimizing critical data exchange between services. Engineered a novel data storage solution on Amazon S3, obviating the need for intermediary POJOs. Partnered cross-functionally with business analysts, ensuring precise data analysis and reporting alignment. Architected microservice for direct data transformation and storage on Amazon S3, expediting analytical access.
Implemented robust data upload, retrieval, and management with AWS SDKs, fortified with encryption and access controls. Spearheaded code reviews and integration of feedback, elevating the microservice's codebase quality. Streamlined CI/CD pipeline integration, collaborating effectively with DevOps for frictionless deployments. Produced detailed, user-friendly documentation for stakeholders, empowering thorough data analysis.
Facilitated team-wide understanding of microservice architecture and value, enhancing utilization. Proactively optimized microservice's performance, fostering cost savings and faster data retrieval.
Championed best practices for code review, unit testing, and continuous integration, expediting development. Navigated critical troubleshooting and rapid issue resolution, minimizing downtime and ensuring stability.

JavaSpring BootMicroservicesRESTful APIsAmazon S3SQL+2

Trainee Software Engineer

Aug 2022 – Jan 2023 · 5 mos · Pune, Maharashtra, India

Zlandya

Computer Vision Engineer Intern

Nov 2021 – Mar 2022 · 4 mos · New Delhi, Delhi, India

Spearheaded the exploration of cutting-edge challenges in applied computer vision, demonstrating a keen ability to identify and solve complex problems. Leveraged deep learning techniques to develop innovative solutions for a diverse range of computer vision applications.
Led end-to-end execution of pioneering research projects, resulting in advanced recommendations and insights benefiting a targeted user group. Extensively engaged with state-of-the-art models, rigorously investigating and adapting various pre-trained models to address specific project requirements.
Collaborated closely with interdisciplinary teams to integrate research findings, fostering a collaborative environment for knowledge sharing and synergy. Continuously stayed abreast of the latest advancements in the field, incorporating new methodologies to enhance the effectiveness of research endeavors.

Logy.ai

Medical Analyst

Oct 2021 – Apr 2022 · 6 mos · Hyderabad, Telangana, India

Analytics domain

Data Analyst Intern

Mar 2021 – Jun 2021 · 3 mos · Pune

Led a pivotal role in a large-scale project involving geospatial analysis.
Utilized advanced geospatial analysis techniques to process raster and shape files, employing libraries such as Geopy, osmnx, and GDAL.
Collaborated seamlessly with cross-functional teams, effectively conveying technical insights to non-technical stakeholders for informed decision-making.
Simultaneously leveraged QGIS software to enhance geospatial analysis capabilities, enabling comprehensive insights and efficient project execution.
Demonstrated exceptional time management and project planning skills, consistently delivering high-quality work within deadlines.
Contributed to open-source projects within the geospatial community, enhancing professional reputation and fostering collaborative relationships.

Geospatial AnalysisQGISData Analysis