---
title: "Daryl Micah - Full Stack Developer in Bengaluru | Tal"
description: "Meet Daryl Micah, Software Developer | 2.5+ years in fullstack + AI systems based in Bengaluru. AI stack includes claude code, codex, and deepseek. Explore public work links including github, darylmicah.me, and leetcode."
image: "https://tal.club/meet/daryl-micah/share-image"
---

# Daryl Micah on Tal

## Headline

Software Developer \| 2\.5\+ years in fullstack \+ AI systems

## About

Full\-Stack & AI Engineer \| React · Node\.js · TypeScript · FastAPI · Python · PostgreSQL Building production\-grade web and mobile apps with a growing focus on AI\-integrated systems — RAG pipelines, LLM workflows, and agentic AI\. 3 years shipping across the full stack: APIs, microservices, React Native, and cloud\-based architectures\. 70% API latency reduction · 71% load time improvement · 32% RAG accuracy gain

## Location

Bengaluru

## AI stack

claude code

codex

deepseek

opencode

ChatGPT

GroqCloud

## Work experience

Full Stack Developer at Broadwing Labs, Apr 2026 \- Present · 5 mos, Bengaluru, Karnataka, India, · Built an AI listing\-generation system using 6\+ coordinated LLM agents \(pydantic\-ai\) that can search the web and self\-validate their own output — cut listing creation time from around 2 hours to under 5 minutes\. · Built a generative\-image pipeline \(GPT\-image, background removal, scene compositing\) running on async Celery \+ FastAPI, cutting image generation costs roughly 4x through provider fallbacks and smart caching across 3 marketplaces\. · Shipped a serverless data ingestion platform on AWS Lambda/SQS/S3, pulling in Amazon SP\-API data and normalizing 8\+ data types into Postgres with safe, replayable backfills\. · Delivered a full FastAPI \+ Next\.js dashboard with secure auth and CSV/XLSX upload support, shipping \~ 400 commits across 4 services\.

Software Developer at Logicsoft \- Beyond Hype, Jan 2025 \- Apr 2026 · 1 yr 4 mos, Gurugram, Haryana, India, • Architected a RAG pipeline \(SQLCoder\-8B \+ vector similarity\) serving real\-time natural\-language queries via a FastAPI inference layer — improving query accuracy by 32% and replacing a manual analyst workflow used daily by 5\+ team members\. • Reduced end\-to\-end API latency by 70% across multi\-tenant Node\.js/PostgreSQL services through composite indexing, query plan redesign, and elimination of N\+1 patterns — directly improving SLA compliance for enterprise clients\. • Built an LLM\-driven validation engine using prompt chaining and vector similarity scoring, processing thousands of records/day autonomously and cutting manual data validation effort by 40%\+\. • Designed JWT\-based auth with RBAC across a multi\-tenant backend, enforcing tenant\-level data isolation at the middleware layer and eliminating unauthorized access incidents\. • Scaled Node\.js backend from single\-tenant to high\-concurrency multi\-tenant architecture with zero downtime migration, handling concurrent enterprise workloads reliably\.

Technical Intern at Eigengram, Oct 2024 \- Dec 2024 · 3 mos, Gurugram, Haryana, India, • Built FastAPI backend services for AI inference pipelines handling real\-time LLM and vision model requests — optimized async request handling to cut service latency by 15%\. • Improved LLM and vision model inference throughput by 25% through quantization and structured pruning, enabling the same workload on lower\-cost infrastructure\. • Trained deep learning models using Hugging Face while managing complex data pipelines\. • Optimized LLM’s & vision models with PyTorch/TensorFlow significantly improving performance\. • Deploying ML models on AWS Sagemaker, EC2 & building ML workflows using AWS Lambda\. • Developing UIs using modern frameworks like React, Next\.js, TailwindCSS and FastAPI\.

Software Engineer Intern at Volkswagen Group Technology Solutions India, Jul 2023 \- Jan 2024 · 7 mos, Pune District, Maharashtra, India, • Improved data retrieval speed by 50% on an enterprise security platform by redesigning REST API response structures and eliminating redundant server round\-trips\. • Delivered backend\-integrated features across 3 Agile sprints with zero critical production bugs, following structured Git workflows and peer review cycles\. • Performed tasks utilizing SCRUM in an Agile Methodology environment\.

Technology Intern at Talent Recruit Software Pvt\. Ltd\., Jun 2022 \- Aug 2022 · 3 mos, India, \- Built datasets for Python processing, enabling efficient data analysis and manipulation\. \- Developed expertise in working with a Resume Parser API, enhancing the efficiency of resume processing\. \- Implemented improvements to the name parsing function of the API, significantly enhancing the accuracy and reliability of name extraction from resumes\.

## Education

Bachelor of Technology \- BTech, Computer Engineering, The NorthCap University

## Public links

- github: https://github\.com/daryl\-micah
- darylmicah\.me: https://darylmicah\.me/
- leetcode: https://leetcode\.com/darylmicah12

[View the original profile](https://tal.club/meet/daryl-micah)

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