Saitejareddy Devarapalli

Co-Founder

Hyderabad, Telangana, India6 yrs 11 mos experience
Highly Stable

Key Highlights

  • Led a team to improve digitization speed by 20%.
  • Developed a machine learning model achieving ~80% accuracy.
  • Architected a POS system deployed in 20 stores within two months.
Stackforce AI infers this person is a Healthcare-focused Fullstack Developer with strong expertise in software architecture and machine learning.

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Skills

Core Skills

Node.jsReact.jsPostgresqlPythonMachine LearningAndroid Development

Other Skills

AJAXAmazon Web Services (AWS)Android StudioBack-End Web DevelopmentBackend API ServersCC++Cascading Style Sheets (CSS)Data StructuresDatabase Design & AdministrationDatabasesElasticSearchElasticsearchFirestoreFlask

Experience

6 yrs 11 mos
Total Experience
2 yrs 10 mos
Average Tenure
1 yr 2 mos
Current Experience

Stealth mode startup hyderabad

Founder

Apr 2025Present · 1 yr 2 mos

Razorpay

Senior Software Development Engineer

Aug 2021Apr 2025 · 3 yrs 8 mos · Bengaluru, Karnataka, India

Medtrail

2 roles

Software Engineer | Platform

Jul 2019Aug 2021 · 2 yrs 1 mo · Delhi Area, India

  • 1. Served as Tech Lead for Smart Digitization Product & improved digitization speed and accuracy by 20% in the first two months.
  • 2. Modules Built in Smart Digitization: Learning Management System, ML Assist(Doubt Sheets), Doctor Dictionary(Meds & Lab Test), Medicine instructions quick search.
  • 3. Designed and Implemented the architecture of Medicine Master for MedTrail encompassing all the nuances which play an integral role across all the modules(Smart Records, Smart Dispensary).
  • 4. Led Application development which is used by doctor to manage their dispensaries. (Ordering, Formulary Management, Payment etc..).
  • 5. Designed and implemented architecture for seamless deployment of MedTrail POS(20 stores deployed in first 2 months).
  • 6. Built architecture for automated order management that reducing time and manpower on ordering medicines based on sales and prescription trend at the clinic.
  • 7. Sourcing: Module built to speed up onboarding and purchases with best margins across the platform identifying the right distributors for the stores.
  • 8. Responsible for ETL Softwares like mongo-connect, PostgreSQL-connect.
  • 9. Introduced MQTT in MedTrail for better sync and data transfer in Smart Records(Doctor App), Smart Dispensary (Docker App).
  • TechStack: NodeJs, ReactJs, Python, MongoDB, ElasticSearch, PostgreSql, MemSql, GraphQL, Redis, PubSub, Firestore, MQTT, Google PubSub, Machine Learning (Neural Networks).
NodeJsReactJsPythonMongoDBElasticSearchPostgreSql+10

Software Engineer Intern

Dec 2018Mar 2019 · 3 mos · India

  • 1. I have built a machine learning model from the scratch for text recognition and deployed it (achieved an accuracy of ~80%).
  • 2. Impact on Contact-Digitization: Improved Digitization Speed.
  • 3. Have also implement Signature recognization for doctor segregation.
  • TechStack: Python, RNN, Neural Networks, H-DBSCAN, TSNE, YOLO, Flask, RASA (NLP).
PythonRNNNeural NetworksH-DBSCANTSNEYOLO+2

Startoon labs

Software Engineer Intern

Jul 2018Aug 2018 · 1 mo · Greater Hyderabad Area

  • I’ve worked on Android App, Backend API Servers, Database Design & Administration, Server Architecture and a seem- less communication between all of them and the hardware device.
  • Few stuff that I’ve built:
  • 1. Developed the complete Android App with all aspects involving User(Doctor) Management, Patient & Device Management, Realtime Analytics & Historical Data Analytics.
  • 2. Implemented varied Modules in Android ranging from BLE Implementation, MQTT Client Implementation, Data Ingestion Protocol by building own encryption algorithm.
  • 3. Built a Web Application, a replica of all analytic features of Android Application with seem-less synchronization.
  • 4. Bulit custom Data Parser, Aggregator & Ingestion Mechanism able to take in 1000 data points in a second and achieving little to no delay in application UI.
  • 5. Built Server Architecture for multi-mode Data ingestion from Android Application and Hardware Device. (Achieved through MQTT & BLE data Aggregation)
  • 6. Built Server APIs for Web & Android Applications for Analytics, Oauth Login etc..
  • 7. Used MongoDB as persistent Data Storage on Server.
Android DevelopmentBackend API ServersDatabase Design & AdministrationServer Architecture

Education

Osmania University

Bachelor of Engineering - BE — Computer Science

Jan 2015Jan 2019

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