Dharmender kaushik

Software Engineer

Hyderabad, Telangana, India3 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led a team of engineers achieving 95% on-time delivery.
Resolved over 150 security vulnerabilities enhancing project security.
Improved model accuracy by 20% through data preprocessing.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and Data Science.

Contact

dharmenderkaushik.career@gmail.com LinkedIn

Skills

Core Skills

Api DevelopmentTeam LeadershipFeature ControlSecurityBackend DevelopmentCode QualityMachine LearningData Analysis

Other Skills

Acceptance TestingAmazon Web Services (AWS)Apache SupersetBack-End Web DevelopmentCascading Style Sheets (CSS)Code ReviewCommunicationComputer ScienceConcurrent ProgrammingCross-functional Team LeadershipDSAData ModelingData PreparationData PreprocessingData Science

About

As an Associate Software Engineer II with 3+ years of experience in backend development, API integration, and machine learning, I am passionate about solving complex technical challenges and optimizing product solutions. My expertise spans a variety of technologies, and I am deeply committed to writing efficient, maintainable code while delivering high-quality solutions. At HighRadius Technologies, I have made significant contributions in improving system performance, enhancing product integrations, and leading cross-functional teams. Key highlights of my work include: * Product Integration & API Development: Integrated multiple products and enhanced login API to dynamically assign roles, improving user management flexibility. * Feature Control Optimization: Implemented feature flags in Redis, improving feature control by 20% and reducing cache retrieval time by 15%. * Team Leadership & Mentorship: Led a team of 6 engineers, optimized sprint planning, and ensured 95% on-time delivery by streamlining processes and conducting code reviews. * Security & Risk Mitigation: Resolved 150+ security vulnerabilities, enhancing project security and reducing risks by 30%, ensuring industry compliance. * Machine Learning Impact: Streamlined data preprocessing, improving model accuracy by 20% and reducing training time by 15%. Contributed to model evaluation, boosting performance by 20% and reducing prediction errors by 15%. I possess a strong foundation in Agile methodologies, CI/CD practices, and DevOps tools. With a focus on building scalable, reliable backend systems and continuously advancing my knowledge of emerging technologies, I am always seeking new challenges to drive innovation.

Experience

3 yrs 11 mos

Total Experience

3 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Highradius

3 roles

Associate Software Engineer II

Promoted

Feb 2024 – Present · 2 yrs 4 mos · Hyderabad, Telangana, India

Integrated multiple products, modified login API to dynamically assign roles, enhancing user
management.
Implemented a feature flag in Redis cache to restrict feature access based on user, account, or
product, improving feature control by 20% and reducing cache retrieval time by 15% with an interface
for efficient key management and purging.
Led cross-functional teams, achieving 95% on-time delivery by optimizing sprint planning and
standups.
Managed a team of 6, delegating tasks, conducting code reviews, and providing technical mentorship.

API DevelopmentProduct IntegrationRedisTeam LeadershipCode Review

Associate Software Engineer I

Jun 2022 – Jan 2024 · 1 yr 7 mos · Hyderabad, Telangana, India

Enhanced Apache Superset integration, optimizing backend functionality and ensuring seamless
MySQL and Snowflake data source connectivity.
Conducted extensive code reviews, achieving a 20% increase in code quality and maintainability.
Developed a product ID segregation API to categorize and assign dashboards based on product,
improving dashboard assignment accuracy by 25%.
Created unit tests using PyTest, achieving 90% test coverage and reducing post-release bugs by 25%.
Resolved 150+ security vulnerabilities identified through InfoSec audits, enhancing overall project
security and reducing potential risks by 30%, ensuring compliance with industry best practices and
standards.

Apache SupersetMySQLSnowflakeCode ReviewUnit TestingBackend Development+1

Machine Learning Intern

Jun 2021 – May 2022 · 11 mos · Hyderabad, Telangana, India

Streamlined data preprocessing across datasets, improving model accuracy by 20% and reducing
training time by 15%.
Performed exploratory data analysis, driving a 15% improvement in decision-making and a 10% boost
in process optimization.
Contributed to model evaluation, improving performance by 20% and reducing prediction errors by
15%.

Data PreprocessingExploratory Data AnalysisModel EvaluationMachine Learning