Rakshit Yadav

Backend Engineer

Gurgaon, Haryana, India10 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 90% reduction in production errors.
Designed scalable applications with significant performance improvements.
Developed AI-powered solutions enhancing user engagement.

Stackforce AI infers this person is a Backend-focused Solutions Architect with expertise in SaaS and Fintech.

Contact

rakshit.yadav.in@gmail.com LinkedIn

Skills

Core Skills

System ArchitecturePerformance OptimizationSoftware DevelopmentData MigrationEtl Pipeline DesignCloud ComputingAi Chatbot Development

Other Skills

AWS GlueAWS Identity and Access Management (AWS IAM)AWS LambdaAWS ToolsAdobe PhotoshopAlgorithmsAmazon KinesisAmazon RedshiftAmazon Relational Database Service (RDS)Amazon Web Services (AWS)Apache DruidApache KafkaArduinoAtmel AVRBig Data Analytics

About

Making future-ready, scalable and light weight design solutions. On journey towards being the best Solutions Architect.

Experience

10 yrs

Total Experience

4 yrs 3 mos

Average Tenure

1 yr 5 mos

Current Experience

Apollo.io

Senior Backend Engineer II (L6)

Jan 2025 – Present · 1 yr 5 mos · Remote

Indifi

3 roles

Technical Lead

Promoted

Jan 2023 – Jan 2025 · 2 yrs · Gurugram, Haryana, India · Hybrid

Star Performer of the Quarter Oct-Dec 2023, for platform engineering success.
Working on system architecture design to improve the performance of various features. Work mostly involves designing scalable yet stable applications.
Reduced more than 90% of production errors (from 1M+ to below 50K), by developing a software service that utilizes error logs to identify bugs, and leverages chatGPT APIs to rectify code issues, and raise Git pull requests autonomously.
Efficiently migrated data from Elasticsearch v5.3 to OpenSearch v2.11, bypassing the need for complex reindexing across 20+ intermediary versions, by coding a tool to verify and transfer data in batches.
Attained a 70% reduction in DB Load and 40% in CPU usage of a Postgres RDS 8x-large instance, by optimizing and refining SQL queries, and implementing a caching mechanism for repeated query results in Redis.
Designed and implemented an ETL pipeline, with below 5 seconds latency, using AWS tools to seamlessly transfer data from Kubernetes pods to Redshift.
Accomplished real-time processing of a billion string operations, to categorize financial transaction texts, by architecting highly concurrent cloud computing infrastructure.
Elevated user conversion rates by 20% through the development of an AI-powered interactive Chatbot on the WhatsApp platform, utilizing NLP to re-engage dropped customers.

System ArchitecturePerformance OptimizationData MigrationETL Pipeline DesignReal-time ProcessingAI Chatbot Development

Senior Software Engineer

Promoted

Jan 2020 – Jan 2023 · 3 yrs · Gurugram, Haryana, India · Hybrid

Software Engineer

Jan 2018 – Jan 2020 · 2 yrs · Gurugram, Haryana, India · Hybrid

Jugnoo

Software Engineer

Jun 2016 – Jan 2018 · 1 yr 7 mos · Chandigarh, India · On-site

Executed software projects employing backend technologies by understanding feature requirements and strategically aligning them with company goals.
Established real-time tracking and monitoring of a fleet network of thousands of users by leveraging MQTT service for streaming geo-location data.