Manav Verma

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Medi Sync

Dec 2025 - Current (9 months)

Medisync is a telemedicine and remote patient monitoring platform supporting 10,000+ concurrent patients with real-time vitals ingestion and predictive alerts. Applied AI/ML models for clinical insight generation, risk scoring, and anomaly detection, enabling proactive alerts for chronic conditions. Engineered a patient health analytics platform that ingests medical reports and real-time events from wearable devices (Fitbit smartwatches and bands). Technologies: Spring Boot, Spring Security, Webflux, R2DBC, SAGA, PostgreSQL, Kafka, Redis, Vault, RAG, ChromaDB, React.js etc.

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Railway Management System

Apr 2022 - Jun 2022 (3 months)

Created a distributed online reservation platform for Indian Railways supporting concurrent booking operations for 500+ trains and 10,000+ seats across multiple stations. Resolved race conditions in seat booking using event-driven architecture with Kafka event sourcing, implementing optimistic locking with Redis to prevent double bookings and ensure data consistency. Worked on real-time train tracking and station updates system using Kafka Streams, consuming live GPS data and schedule changes with sub-second latency for accurate availability display. Technologies : Maven, Spring Security, API Gateway, Eureka Server, MongoDB, Kafka, Redis, Docker etc.

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Go4Food

Jan 2020 - Dec 2020 (1 year)

This is Project is based on Android App , It help people to find thier meal from near the location In this project we are going to help the people to finding their meals from the near restaurants and shops that provide good quality of food.These all setup by collection of data sets from different of website and after analyzing the datasets by some tools of data science like R studio,etc. They sorted that data by rating and food requirement saved it into firebase . after setup the website and app, we able to access that data & displayed on the screens by searching option from their respective locations. we provide the paths to reach these locations by accessing the google maps.A person can search any dish from app and find their meal from th

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Twitter Sentimental Analysis

May 2018 - Jul 2018 (3 months)

Sentiment Analysis on twitter streamed data using flume and hadoop Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application. Sentiment analysis is a process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. In this projec

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