Rahul Chopra

Software Engineer

West Delhi, Delhi, India3 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Secured $7.5M deal with Fortune 500 bank
Developed first Hinglish NLP model for speech recognition
Built scalable data validation framework from scratch

Stackforce AI infers this person is a Backend and Cloud Engineering specialist in the SaaS industry.

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Skills

Core Skills

Backend EngineeringCloud EngineeringData Engineering

Other Skills

AWSApache SupersetAzureC++Data StructuresDatadogDigital MarketingDockerDynamoDBELKGoGolangHashiCorp VaultJavaJenkins

About

🚀 Engineer | Problem Solver | Builder I’m a software engineer with a deep passion for building scalable, high-performance systems. Currently working as a Member of Technical Staff at LambdaTest, I have been instrumental in architecting and developing the On-premises solution for HyperExecute, enabling enterprise clients with secure, one-click deployments. I played a key role in securing a $7.5M on-premises deal with a fortune 500 bank by delivering a fully compliant, cloud-agnostic solution. 🔹 Key Expertise: - Backend & Cloud Engineering: Golang, Python, Kubernetes, AWS, Azure - Enterprise-Grade Solutions: On-premise deployments, security compliance, cloud-agnostic architecture - Data Engineering: Apache Airflow, Kafka, Redis, PostgreSQL, MongoDB - Automation & Scaling: Helm, RabbitMQ, Kubernetes autoscaling, API testing automation 📈 Past Contributions: At AiDash, I built a central data platform from the ground up, developed a Data Validation Framework, and optimised Kubernetes orchestration for large-scale data processing. Previously, at PolicyBazaar, I developed an NLP model for Hinglish, making it the first company in the world to deploy such a system for automated speech recognition. 🔥 Whether it's engineering robust cloud solutions, optimizing system performance, or solving deep technical challenges, I thrive at the intersection of technology and impact. Let’s connect! 🚀

Experience

3 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 10 mos

Current Experience

Lambdatest

Member of Technical Staff

Jul 2023 – Present · 2 yrs 10 mos · Noida, Uttar Pradesh, India · On-site

[1] Contributed to the the development and architecting of On-premises solution for HyperExecute from scratch, enabling seamless one-click deployments of HyperExecute, tailored for secure and scalable enterprise use.
[2] Secured a USD 7.5 Mn On-premises solution deal by delivering a fully compliant and scalable solution aligned with enterprise security and performance standards.
[3] Integrated Istio for ingress control and incorporated enterprise-grade managed services, including RabbitMQ, Strimzi Kafka, and MinIO, to support on-premises deployments.
[4] Refactored database interactions in Go microservices by transitioning from raw queries to ORM-based queries using Goqu, achieving database-agnostic functionality.
[5] Developed a microservice to dynamically scale test executor pods by managing autoscaling and downscaling, optimizing resource utilization and performance.
[6] Automated API testing pipelines by integrating Postman, achieving 95% test coverage across microservices, ensuring reliability and early detection of issues.
[7] Remediated vulnerabilities and implemented code security policies to comply with enterprise-grade standards, ensuring secure and compliant microservices.
[8] Automated the creation of dev environments, streamlining internal testing processes and improving code validation for team members.
[9] Integrated Wasabi Storage Cloud, achieving an estimated monthly cost saving of $10k through optimized cloud storage solutions.
[10] TECH STACK :
Language: Golang
Database: MySQL, MSSQL
Tools/Technologies: Linux, Docker, Minio, LocalStack, Kafka, Redis, RabbitMQ, HashiCorp Vault
AWS: EC2, S3, Lambda, RDS, CloudWatch, EKS, SQS, Secrets Manager, ECR, CloudFront
Azure: Virtual Machines, SQL Database, Blob Storage, AKS, Service Bus, Vault
Kubernetes: Pods, Deployments, Services, Namespaces, ConfigMaps, Secrets, Ingress, HPA, Node, Node Pools, StatefulSets, Jobs, ReplicaSets, Helm, PDBs, Taints/Tolerations, Init Containers, PVCs, Istio

GolangMySQLMSSQLLinuxDockerMinio+10

Aidash

2 roles

Software Engineer

Jun 2022 – Jun 2023 · 1 yr · Bangalore Urban, Karnataka, India

[1] Built Data Validation QC framework from scratch for data processing pipeline so as to predict the data driven problems at every step beforehand thereby generating error and warning alerts. Moreover, capable of handling and resolving it on the basis of generated alerts.
[2] Implemented Concurrency control at orchestration engine to restrict the overwhelming of Kubernetes Pods creation queue in order to not to allow arbitrarily large number of jobs to run parallely.
[3] Onboarded end to end services i.e. tree tagging service, gis data validation service. over our client delivery portal odin in order to make the delivery process seamless for solutions team as it offers better track of progress as well as analysis of the required tasks.
[4] Optimised Elastic Kubernetes Service (EKS) resource utilisation and reduced overall AWS cost by introducing Dynamic Pods buckets which sets Pods requests and limits on the basis of input size for the client's deliverable services.
[5] Built DLQ feedback loop to automatically re-trigger jobs which gets OOM Killed with higher configurations corresponding to every failed retry.
[6] Restructured code base of internal client's deliverable services to reduce memory utilisation and improvise TAT.
[7] TECH STACK :
Primary Language : Python (80%)
Secondary Language : Scala (20%)
Database: Mongo, Postgres , MySQL, DynamoDB
Infra: Kubernetes, Docker
Build Tools: Jenkins
Metrics: Datadog
Data Dashboards : Apache Superset
Logging: ELK
Deployment: AWS
Artifactory: AWS CodeArtifact

PythonScalaMongoDBPostgreSQLMySQLDynamoDB+8

Software Engineer Intern

Jan 2022 – Jun 2022 · 5 mos · Bangalore Urban, Karnataka, India

Dotpe

Software Engineer Intern

Aug 2021 – Dec 2021 · 4 mos · Gurugram, Haryana, India

[1] Worked under Merchant’s Dashboard Team over building features for digital showroom waiter app.
[2] Built highly scalable REST APIs and implemented unit testing for the Waiter App implementing features for improving the overall experience of waiter users.
[3] Day to day responsibilities include attending SCRUM meetings , building new features and learning new technologies to effectively improve codebase.
[4] Tech Stacks : Go-lang, Gin-Gonic, MySql , Redis etc.

GoMySQLRedisBackend Engineering

Policybazaar.com

Software Engineer Intern

Dec 2020 – Sep 2021 · 9 mos · Gurugram, Haryana, India

[1] Worked overbuilding the Automated Speech Recognition systems in regional languages.
[2] Contributed towards building a named entity recognition bilingual model from scratch over the HINGLISH language, which was deployed over AI portal of policybazaar.com.
[3] Built the backend for implementing auto filling question answering feature (i.e. PED).
[4] Automated refresh rate of lead scoring models and cross selling models.
[5] TEAM ACHIEVEMENT : Building model and implementation of NLP over the Hinglish Language has made Policybazaar.com the world’s first company to do the same.