Lakshay Arora

Software Engineer

India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Stackforce AI infers this person is a Fintech and AI development specialist with strong full stack capabilities.

C++Order Management System.netFull Stack DevelopmentAi DevelopmentMachine LearningData Science

.NET FrameworkAIAJAXAmazon Web Services (AWS)BotpressC#MongoDBNLPPandasQuillRabbitMQRedisSHA256 encryptionSQLSentiment Analysis

2 roles

Promoted

Jul 2024 – Present · 1 yr 8 mos · Noida, Uttar Pradesh, India · On-site

> Building a high-performance, low-latency Linux based Order Management System for HFT, achieving significant throughput optimization using C++, gRPC, and Redis.
> Enhancing data integrity and system reliability with SHA256 encryption, MongoDB (data storage), RabbitMQ (messaging), and Quill (logging).
> Previously worked on C#(.NET) based frameworks i.e WPF/react(for frontend), WCF(for APIs) and SQL(for relational DBMS)

C++gRPCRedisSHA256 encryptionMongoDBRabbitMQ+2

Jan 2024 – Jul 2024 · 6 mos · Noida, Uttar Pradesh, India · On-site

> Full stack development with .Net based OMS and Frontend for low latency and high throughput(existing architecture), created stored procedures for SQL.
> Created a custom excel add-in for placing orders/seeing portfolio through excel for non tech clients.
> Optimized architecture and documented for improved team collaboration.
> Implemented AWS backup service with WCF backend and AJAX-based frontend for reliable data recovery.

.NETSQLWCFAJAXFull Stack Development

Jun 2023 – Jul 2023 · 1 mo · Noida, Uttar Pradesh, India · Remote

> Collaborated with a team to develop an AI-powered marketplace for school selection.
> Implemented a chatbot using Botpress, providing personalized guidance and addressing user queries efficiently, leveraging StackAI to enhance its NLP capabilities.
> Integrated Zapier for data synchronization and connectivity between various components.
> Created an online assessment feature using Pandas, allowing users to evaluate their skills and refine school recommendations.

AINLPBotpressPandasZapierAI Development+1

Jun 2023 – Jul 2023 · 1 mo · Delhi, India · On-site

> Acquired expertise in cutting-edge libraries and APIs for speech recognition and sentiment analysis.
> Utilized sophisticated models to extract valuable insights from customer voice data.
> Implemented AI system to enhance sentiment analysis capabilities and optimize call center operations.

Speech RecognitionSentiment AnalysisData ScienceAI Development