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Aamish Hussain

Open to work2 years experience

Full Stack Developer

Bengaluru, KarnatakaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full Stack Developer with 2 years of experience in fintech environments.

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

26 skills
javascriptpythonreact.jshtml5css3material uinode.jsexpress.jsfastifyrest apipostmanmongodbpostgresqlchromadblangchainraglanggraphgcpawsdockergrafanaci/cdjenkinsgitgithubforgejo

Work Experience

Software Engineer - Full Stack

FinacPlus

Sep 2024 - Present Bengaluru, Karnataka
  • Developed a role-based Admin Panel for a Loan Origination System (LOS) using React.js within a microservices architecture, enabling end-to-end user lifecycle management with role-based access control (RBAC) via URN-based authorization.
  • Optimized document processing pipeline by replacing batch OCR with synchronous processing and implementing PDF chunking strategy, reducing processing time by 94% (from 5 minutes to 57 seconds).
  • Architected and shipped an AI-powered chatbot using RAG (Retrieval-Augmented Generation) with Python, LangChain, LangGraph, and ChromaDB; implemented agent-based orchestration with tool calling for dynamic, real-time data retrieval.
  • Designed and implemented a real-time fraud detection system using WebSockets for low-latency event streaming, triggering API-based risk analysis on document uploads and enabling instant UI updates via server-pushed notifications, improving detection responsiveness by 90%.
  • Reduced third-party API costs by 60% by designing and deploying a mock server for SmartyStreets API across lower environments, enabling scalable testing without external API dependency.
  • Automated loan data pipeline using scheduled cron jobs for data ingestion, CSV report generation, and email workflow dispatch, eliminating manual support operations.
  • Developed and deployed serverless Cloud Functions on GCP using Pub/Sub triggers, automating file processing workflows with Cloud Storage (GCS) in production environments.
  • Collaborated with DevOps team to set up Grafana dashboards with custom service metrics for latency tracking and request tracing across microservices.

Software Developer Intern

Mosaic Labs

May 2024 - Jul 2024 Bengaluru, Karnataka (Remote)
  • Built ChartGPT, an AI-powered application enabling natural language interaction with Excel datasets, allowing users to query and extract insights through a conversational interface.
  • Engineered backend logic to parse and process structured data from Excel/Google Sheets and return context-aware responses, improving usability for non-technical users.
  • Implemented persona-based chat responses and integrated OAuth authentication via Google Apps Script for secure, token-based access to Google Sheets APIs.

Projects

Projects Not Populated

Personal applications, open-source work, and code repos will show here.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

System Optimization and Cost Reduction

Achieved a 94% reduction in document processing time and reduced third-party API costs by 60% through system optimization and automation.

About Details

Professional Bio

Full Stack Developer with 2 years of experience building scalable microservices, REST APIs, and event-driven systems in fintech environments. Hands-on experience in developing AI-powered applications using RAG architectures.

Education: Computer Science Engineering (Or Equivalent)
Languages: English, Hindi
Email: Locked