---
title: "Ishika Dubey - Lead Software Engineer in Bangalore Urban | Tal"
description: "Meet Ishika Dubey, Backend Engineer | Go | Python | Java | FastAPI | Go Fiber | Spring Boot | Microservices Architecture | Docker | Keycloak | Redis | MongoDB | MySQL | Git | Postman based in Bangalore Urban. AI stack includes hugging face, langchain, and ollama. Explore public work links including..."
image: "https://tal.club/meet/ishika-dubey/share-image"
---

# Ishika Dubey on Tal

## Headline

Backend Engineer \| Go \| Python \| Java \| FastAPI \| Go Fiber \| Spring Boot \| Microservices Architecture \| Docker \| Keycloak \| Redis \| MongoDB \| MySQL \| Git \| Postman

## About

I am a avid coder currently working as a Backend Developer, with hands\-on experience in building scalable systems and delivering production\-grade features\. My approach combines structured thinking with a deep curiosity for how things work always digging beyond the surface to find efficient, practical solutions\. Skilled in server\-side development, database design, and deployment strategies\. Actively involved in product evolution, performance tuning, and feature optimization\. Passionate about learning emerging tech, simplifying complex systems, and enabling impact through code\. I thrive in fast\-paced, growth\-oriented environments and believe in continuous learning through ownership and collaboration\. Let’s connect if you’re building something meaningful, looking to scale backend architecture, or exploring product\-tech intersections\.

## Location

Bangalore Urban

## AI stack

hugging face

langchain

ollama

openai

## Work experience

Lead Software Engineer at Persistent Systems, Oct 2025 \- Present · 8 mos, Bengaluru, Karnataka, India

Software Developer 2 at BDIPlus, Nov 2024 \- Oct 2025 · 1 yr, Bengaluru, Karnataka, India

Backend Developer \(SE\-1\) at Probeplus, Jan 2024 \- Nov 2024 · 11 mos, Bengaluru, Karnataka, India, HOSPITAL MANAGEMENT SYSTEM \(Go, MongoDB, Docker, Keycloak\) Took ownership of HMS backend, architected modules for appointments, scheduling, pharmacy, lab reports, and patient records Ensured NDHM/ABHA compliance, following standards like SNOMED, LOINC, DICOM Mentored 3 interns, handled feature research, work division, and milestone delivery AUTOMATED PATIENT COMMUNICATION \(Python, AWS Tesseract, Pandas, MongoDB\) Automated SMS, WhatsApp, and email\-based communication for patients, reducing manual work FHIR &amp; OPENEHR INTEROPERABILITY \(Java, Spring Boot, MySQL, EHRBase\) Took ownership to study the complete OpenEHR format and incorporate it into the HMS system Coordinated with ABHA &amp; C\-DAC to enable EMR conversion and interoperability, ensuring secure health data exchange REAL\-TIME ECG MONITORING \(Go, Socket\.IO, MongoDB\) Built WebSocket server for live ECG data with 1M\+ records, enabling remote monitoring BOUT BACKEND \(Go, MQTT, MongoDB, React\.js\) Designed 7 backend modules with real\-time sync and role\-based authorization Supported React\.js frontend development for smooth integration SYSMTOP CHECKER – SYMPTOM BASED DIAGNOSIS \(Python, MQTT, MongoDB, Web Scraping\) Developed algorithm to suggest possible diseases by asking minimal doctor\-like questions \(occupation, lifestyle, food habits\) Built a web\-scraped data library to improve accuracy ERPONE AUDIT PROJECT \(Python, FastAPI, MySQL, MongoDB\) Wrote scripts to migrate databases from MySQL to MongoDB with schema and data preservation Built a basic user module using FastAPI

Backend Developer Intern at Probeplus, Sep 2023 \- Dec 2023 · 4 mos, Bangalore Urban, Karnataka, India, DYNAMIC PDF GENERATION \(Python, D3\.js, HTML\-to\-PDF\) Converted complex patent reports with D3\.js graphs into accurate PDFs\. Earned early full\-time conversion in 3 months instead of 6\. SUPPORT PROJECTS Assisted in prototype development and backend automation tasks\. Worked with FastAPI and MongoDB optimizations for early projects\.

Python Developer Intern at Digital Divide Data \(DDD\), Apr 2022 \- Aug 2022 · 5 mos, United States, Built and optimized algorithms using Python, AWS, ML, YOLO, and HaarCascade for face detection and disease diagnosis\. Transformed and cleaned large client datasets, improving model training accuracy\. Developed lightweight diagnostic solutions with minimal questioning, enhancing efficiency and client outcomes\. Collaborated with a diverse global team to deliver scalable, real\-world AI solutions\.

## Education

Bachelor of Engineering \- BE, Computer Science, Amc Engineering College

12th, Science : PCMB, BGS National Public School \- India

## Public links

- github: https://github\.com/ishika0102

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

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