Tejas Jain

Software Engineer

Gurugram, Haryana, India1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered high-concurrency systems for real-time inventory management.
Developed AI-powered platforms to automate sales call analysis.
Passionate about optimizing backend performance and scalability.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AdTech with a focus on high-performance systems.

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Skills

Core Skills

BackendJavaSpring Boot

Other Skills

RedisKafkaElasticsearchMySQLAlgorithmsApache KafkaPrometheusGrafanaMongodElastic Stack (ELK)Cloud ComputingAmazon Web Services (AWS)Python (Programming Language)AutomationDeep Learning

About

Software Engineer with 2 years of experience and a strong competitive programming background rooted in Data Structures and Algorithms. I specialize in applying deep problem-solving skills to real-world engineering challenges, building scalable, reliable, and high-performance backend systems. I’ve worked on diverse, high-impact projects—ranging from high-concurrency voucher allocation systems and personalized homepage banner engines to Kafka-based enrichment pipelines and real-time Ads monitoring platforms integrated with Prometheus and Grafana. My experience spans distributed locking, rule-based personalization, Elasticsearch/MySQL data flows, workflow automation, and maintaining shared core backend services used across multiple teams. I’m passionate about designing clean architectures, optimizing performance at scale, and building systems that deliver measurable business value. Always excited to solve complex problems and continuously grow as an engineer.

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 11 mos

Current Experience

Paisabazaar

Software Development Engineer

Jul 2024 – Present · 1 yr 11 mos · Gurugram, Haryana, India · On-site

Core Backend Engineer | Key Contributions
Engineered a high-concurrency voucher allocation system using the 0/1 Knapsack algorithm and Redis distributed locks, ensuring real-time inventory consistency under 50K+ RPM peak load.
Built a configurable homepage banner API for Paisabazaar, enabling dynamic personalization based on user parameters (repayment status, credit score, active plans), driving a multi-fold boost in user engagement and click-throughs.
Contributed to the development of an AI-powered QA platform that automated the analysis and evaluation of sales calls.
Automated critical operational workflows by creating pipelines for Commbox event & consent creation via JIRA Workflow integration and internal APIs, reducing manual effort by 80%.
Maintained and improved shared core backend services used across verticals—communication systems, visitor management, user profiling, and more—enhancing stability, performance, and cross-team velocity.

JavaSpring BootRedisKafkaElasticsearchMySQL+1

Meesho

Software Engineering Intern

Mar 2024 – Jul 2024 · 4 mos · Bangalore Urban, Karnataka, India · Hybrid

Ads & Monetisation Team | Key Contributions
Developed and enhanced monitoring systems for critical ads-related metrics (AdsView, OrdersByView) within a Java Spring Boot backend, integrating with Prometheus and Grafana to enable real-time tracking and automated alerting.
Upgraded Kafka-based enrichment pipelines to incorporate additional Ads attributes into Elasticsearch and MySQL, improving search capabilities, data accuracy, and overall consistency across data stores.
Collaborated closely with cross-functional teams to ensure smooth data flows, seamless system integration, and optimized performance in processing and managing Ads data at scale.

Spring BootApache KafkaPrometheusGrafanaElasticsearchMySQL+1