Rajat Arora

Software Engineer

New Delhi, Delhi, India4 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered a 10x faster search system.
Reduced costs by 55% with gRPC microservices.
Boosted user productivity by 300% at Attentive AI.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and Fintech solutions.

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Skills

Core Skills

Go (programming Language)AwsGrpcPython (programming Language)DjangoReact.jsTypescriptC#.net FrameworkTensorflow

Other Skills

FastAPIDockerKafkaAzureKubernetesRedisElasticsearchQDrantRabbitMQPostgreSQLMongoDBCeleryWebSocketsDjango REST FrameworkHTML5

About

Backend Engineer | Go, Python, Distributed Systems | Performance Optimization | AI/ML Integration I’m a backend-focused Software Engineer with 5+ years of experience building scalable microservices, optimizing system performance, and leading critical infrastructure migrations. At Netomi, I engineered a 10x faster search system by migrating from Elasticsearch to QDrant (Vector DB), introduced gRPC-based Go microservices reducing costs by 55%, and streamlined ML pipelines using AWS. Previously at Attentive AI, I led the development of real-time features with WebSockets, optimized critical services by 120%, and enhanced user productivity by 300%. 💡 Passionate about clean architecture, developer efficiency, and impactful backend design. Whether it’s cutting infra costs, reducing latency, or solving N+1 bottlenecks—I love solving hard backend problems. 🛠️ Tech Stack: Go, Python, FastAPI, Django, gRPC, Kafka, PostgreSQL, QDrant, Elasticsearch, Docker, AWS, WebSockets, LangChain. Let’s connect if you're working on high-scale systems or love backend engineering challenges!

Experience

4 yrs 8 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 4 mos

Current Experience

Netomi

Software Engineer 2

Dec 2024 – Present · 1 yr 4 mos · Remote

Led migration from Elastic-search to QDrant, achieving 10x faster search, 3x faster training, and $36k annual savings.
Redesigned Elasticsearch architecture, reducing storage by 40% and improving query performance by 35%.
Developed a Go microservice and migrated REST APIs to gRPC, resulting in 55% cost reduction, 65% CPU savings, and 33% faster processing.
Optimized caching infrastructure by migrating from Redis to Dragonfly and re-architecting key structures, resulting in 25x throughput, 48% cost reduction, and $9.3K annual savings.
Utilized: Go, Python, Fast API, Docker, Kafka, AWS, Azure, Kubernetes, Redis, Elasticsearch, QDrant.

Go (Programming Language)Python (Programming Language)FastAPIDockerKafkaAWS+5

Attentive.ai

2 roles

Software Engineer 1

Promoted

Nov 2023 – Nov 2024 · 1 yr · Noida, Uttar Pradesh, India · On-site

Improved customer satisfaction by 35% by outlining Attentive AI's roadmap, providing valuable insights on potential areas of improvement and new feature development. Acted as the code owner for critical products such as Feathers at Attentive AI.
Developed features and services that boosted user productivity by 300%. Increased the performance of critical services by 120%. Introduced a Unit-Test case pipeline which helped catch and fix bugs, improving code quality by 40%.
Introduced Elasticsearch and WebSocket in the Feathers product, which increased productivity and decreased data loss by 80%. Enhanced the system's real-time data processing capabilities, leading to a 50% reduction in response times for search queries.
The technology stack employed included Python, Django, Rabbit MQ, Celery, Elastic Search, Docker PostgreSQL, and MongoDB. Employed Git and GitHub for version control and product source code management.

Python (Programming Language)DjangoRabbitMQPostgreSQLElasticsearchDocker+3

Software Developer 1

Apr 2023 – Aug 2023 · 4 mos · New Delhi, Delhi, India · On-site

Designed and developed various modules and web-packing techniques which increased the execution speed of code by 80%. Acted as the code owner for critical product such as Core, and payments and invoicing at Attentive AI.
Developed User Interface which boosted productivity of the users by 2 times. Increased the performance of rendering of components by 60%.
Implemented responsive design practices, enhancing user experience and accessibility across different devices, leading to a 40% increase in user engagement.
The technology stack employed included Typescript, React JS, Next JS, React Query, and Zustand. Employed Git and GitHub for version control and product source code management.

TypeScriptReact.jsDjango REST FrameworkHTML5ZustandReact Query

Eze software (ss&c eze, a unit of ss&c technologies)

Associate Software Engineer

Mar 2021 – Mar 2023 · 2 yrs · Hyderabad, Telangana, India · On-site

Increased trading efficiency by 10% through developing architecture, designing, and developing new features for trading software for SS&C. Responsible for debugging and resolving critical production and customer issues.
Designed and implemented a new feature for executing corporate actions on stock trade positions and their subsequent reversals, resulting in a 200% increase in efficiency compared to the previously implemented module.
Enhanced data accuracy by 95% by spearheading the development of the Reconciliation Blotter, which empowers users to verify daily trades against trade tickets, internal and external systems.
The technical toolbox included Typescript, React JS, C#, the.NET Framework, Microsoft SQL Server, and Python. For version control and source code management; I proficiently used Git and Bit Bucket.

TypeScriptReact.js.NET FrameworkMicrosoft SQL ServerC#Entity Framework (EF) Core

Valiance solutions

Software Developer Intern

Feb 2021 – Mar 2021 · 1 mo · New Delhi, Delhi, India

Utilized AWS S3 bucket to retrieve multi-spectral satellite imagery consisting of 13 spectral bands, with three distinct spatial meter class spatial resolutions.
Developed a convolutional neural network model to train the pre-processed data from Sentinel L1C satellite images.
Implemented a feature in a React Native application to enable background refreshing.

Python (Programming Language)TensorFlowReact.jsDjango REST FrameworkKeras

Aam aadmi party

Machine Learning Intern

Jun 2019 – Sep 2019 · 3 mos · Greater Delhi Area

Built and train Artificial Neural Network using Tensor-Flow and Keras.
Feature extraction using basic Python and it’s libraries.
Analyzing and visualizing data using Python libraries like Seaborne, Matplotlib etc.
Maintaining utmost discretion when dealing with sensitive topics

Python (Programming Language)TensorFlowScikit-LearnPandasNumPy