Aira Jena

Software Engineer

0 mo experience

Key Highlights

Engineered AI-powered systems with significant efficiency gains.
Achieved 99.9% uptime in cloud infrastructure deployments.
Top performer in competitive coding platforms.

Stackforce AI infers this person is a SaaS Backend Engineer with expertise in cloud infrastructure and AI-driven solutions.

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Skills

Core Skills

React.jsPython (programming Language)Aws

Other Skills

AWS CodePipelineAWS LambdaAlgorithmsAmazon EC2Amazon S3Amazon Web Services (AWS)Apache KafkaBERT (Language Model)Back-End Web DevelopmentCascading Style Sheets (CSS)Cloud ApplicationsContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDatabasesDocker

Experience

Blg technologies (p) ltd.

2 roles

Software Development Engineer Intern (Full Stack + Product)

Jun 2025 – Present · 9 mos · Jodhpur, Rajasthan, India · Remote

Engineered an AI-powered Tender Intelligence System automating 2,000+ tenders/day with 85% relevance accuracy, reducing manual effort by 70%.
Built an AI-driven Proposal Generator (GPT-4) cutting document preparation time by 80%, with multi-threaded background processing to accelerate compilation.
Developed real-time WebSocket dashboards tracking 100+ tenders with sub-second updates, improving transparency by 99.9%.
Improved frontend efficiency by 65% using React Query & Zustand, reduced server load by 30%, and optimized load time by 40% with Vite code-splitting.
Designed responsive Flask-Admin dashboards and Jinja2 interfaces, increasing admin efficiency by 40%.

React.jsPython (Programming Language)JavaScriptPandas (Software)Back-End Web DevelopmentSoftware Development+8

Software Development Engineer Intern (Backend + Infrastructure)

Feb 2025 – May 2025 · 3 mos · Jodhpur, Rajasthan, India · Remote

Optimized database queries, reducing API response time from 800ms → 250ms with SQLAlchemy relationships.
Built an APScheduler event service with auto-approvals & notifications, cutting admin interventions by 50%.
Designed and deployed AWS cloud infrastructure (VPC, EC2, Terraform, SGs, NACLs), ensuring 99.9% uptime & fault tolerance.
Automated cloud resource usage with Lambda + EventBridge, reducing costs by 92%.
Integrated CI/CD pipelines with CodePipeline & Docker (ECR → EC2), achieving zero-downtime deployments and 75% faster releases.

Python (Programming Language)Amazon Web Services (AWS)React.jsFlaskSocket.ioDocker+11