Isharul Haque

Software Engineer

Hyderabad, Telangana, India5 yrs 7 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led integration for major grocery partners at Deliveroo.
Developed a real-time automation engine saving $1M annually.
Achieved 95% accuracy in image data extraction.

Stackforce AI infers this person is a Backend Software Engineer with expertise in Healthcare and Food Delivery sectors.

Contact

isharul.haque@deliveroo.com LinkedIn

Skills

Core Skills

MicroservicesAwsAzureNlpAi

Other Skills

APIDynamoDBElastic SearchFAST APIsFlaskGolangKafkaMSSQLMachine LearningMongoDBOCRObject StoragePDFPythonREST API

About

Senior Software Engineer with almost 5 years of experience, skilled in Python, Golang, AWS, Flask, Azure, REST APIs, FAST APIs, gRPC, Terraform, Microservices, Kafka, MongoDB, MSSQL, Elastic Search, DynamoDB, Object Storage, Machine Learning. Graduated from NIT Jamshedpur (2020) in CSE. Currently working as senior backend developer in New Verticals Integration team at Deliveroo, transforming food and grocery delivery services. Primarily leading integration of grocery and retail partners, focusing on catalog, prices & stock management, collaborating across domains and contributing to order picking, item substitutions & amendments, and co baskets workflows Previously contributed in healthcare domain at Optum Global Solutions, a UnitedHealth Group company for almost 4 years, building real-time automation engine for digitizing and transforming health care solutions. Delivered highly scalable real time automated engines to onboard new clients for the product. I was a part of Research & Innovation department to automate extraction of correlated fields & tabular data from images using OCR, implemented various client POCs from scratch to extract unstructured information from images using NLP models.

Experience

Deliveroo

Software Engineer II

Oct 2024 – Present · 1 yr 5 mos · Hyderabad, Telangana, India · Hybrid

Led integration of grocery and retail partners, focusing on catalog, prices & stock management
Onboarded major UAE partners (Spinneys, Waitrose, Carrefour etc) using a pipeline-based custom integration solutions
Collaborated across multiple squads contributing to order picking, item substitutions & amendments, and co baskets workflows
Developed a notification and monitoring system to support partners & associates with order reporting

PythonGolangAWSFlaskAzureREST APIs+11

Optum

3 roles

Senior Software Engineer

Promoted

Feb 2023 – Oct 2024 · 1 yr 8 mos

Developed real-time automation engine for digitizing clinical records, saving nearly $1M annually
Led migration of NAS-based apps to Azure Blob, boosting scalability and cutting operational costs
Engineered microservices architecture with synchronous APIs and implemented monitoring tool with
Supervisord, resulting in 99% uptime and automated recovery
Enhanced auto-tagging tool to add custom bookmarks into medical records using PDF text layers
Integrated PyLint framework, reducing code review time by 30% and improving code quality by 25%
Orchestrated successful production releases involving design discussions, code reviews, integration
testing, deployment, and client demos
Conducted technical sessions and mentored junior colleagues to foster skill development

AzureMicroservicesNLPOCRPDFPython+1

Software Engineer

Aug 2020 – Feb 2023 · 2 yrs 6 mos

Automated image data extraction using Azure OCR and novel algorithms, achieving 95% accuracy
Developed an in-house algorithm to reduce work flow auditing time from 50 to 6 minutes
Optimised web services communication through data caching strategies resulting in a 30% reduction
in API response time
Built a real-time business reporting module for transaction tracking, retrieval and updates
Implemented and maintained regression suite and unit testing framework using Pytest
Collaborated on multiple client POCs utilizing NLP models for extracting unstructured data

AzureNLPOCRPythonAPI

SDE Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India

Worked under Research & Innovation team to build an advanced Explainable AI (XAI) model for Alzheimer's disease prediction
Achieved 94.15% accuracy using the RIPPER ruleset algorithm
Designed and integrated a REST API with an intuitive user interface (UI)

AIREST API