Manish Joshi

Manish Joshi

Software Developer | Full-Stack & Mobile Engineer | AI, Microservices, Real-Time Systems | Node.js, Flutter, React

IndiaSoftware Development
5roles
54skills
3education

About

When can I get first hr call and what package can I expect if I got shortlisted as currently I am doing dsa and system design

Experience

Flutter Developer

Esferasoft Solutions Pvt Ltd.

8 mos · Mohali district

Software Engineer

HackerKernel

4 mos · Bhopal, Madhya Pradesh, India

Mobile Developer

Fiverr

1 yr 3 mos · Haldwani, Uttarakhand, India

Software Developer

Esferasoft Solutions

Sept 2025 – April 2026 · Mohali

Full-time mobile and backend engineering. Architected Meng AI, an AI fitness SaaS using Flutter, Node.js, and Gemini API with sub-300ms average response latency under concurrent load. Built secure iOS and Android in-app purchase flows with server-side receipt validation, reducing payment failure rates to under 1%. Built a multi-role laundry service platform for consumers, drivers, and administrators using Flutter, Node.js, and Telr, including automated driver reassignment through an admin-driven state machine.

Freelance Software Developer

Self-Employed (Fiverr)

Nov 2023 – Aug 2025 · Remote

Delivered 8+ production full-stack applications for international clients across e-commerce, logistics, and SaaS with 100% on-time delivery. Refactored a legacy Node.js and React monolith using lazy loading, query batching, and Redis caching, reducing API call volume by 45% and improving frontend time-to-interactive by 30%. Built secure REST backends with JWT authentication, role-based access control, and Stripe payment flows across three production applications.

Education

Amrapali University Haldwani

Bachelor's degree, Computer Science

Aug 2021 - Jun 2025

Maharishi Vidya Mandir Senior Secondary School

12th, PCM

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Amrapali Institute of Technology, Uttarakhand

Bachelor of Technology, Computer Science & Engineering

Aug 2021 – June 2025

Skills

Software DevelopmentProblem SolvingMobile Application DevelopmentCritical ThinkingSQLC++17JavaScriptNode.jsDartPythonBashREST APIsWebSocketsgRPCJWTRate LimitingRedis Pub/SubEvent-Driven ArchitectureMongoDBPostgreSQLFirebase FirestoreMySQLSQLiteRedisSupabaseDockerCI/CDGitFirebase Cloud FunctionslibpcappthreadsAtomic OperationsLock-free Data StructuresPCAP AnalysisConcurrencyGemini APILLM OrchestrationStripe ConnectIn-App PurchasesGoogle Maps APITelrFCMMicroservicesDistributed SystemsScalabilityCachingHorizontal ScalingLow LatencySaaSMVVMFlutterReactGroq APIUber H3

Projects

Malaria Detection Using CNN (Deep Learning)

A deep learning project that uses Convolutional Neural Networks (CNNs) to detect malaria from microscopic images of blood samples. Achieved a 96% accuracy rate through extensive training and data preprocessing, contributing to healthcare diagnostics.

Full-Stack Amazon Clone (Flutter + Node.js + MongoDB)

A shopping app with features like product listing, cart management, user authentication, and secure payments.

SnapQuote AI

AI SaaS platform built with Node.js, Supabase, Groq API, Redis, and in-app purchases. Implemented multi-tenant architecture, row-level security, JWT authentication, quota enforcement, tiered premium access, speech-to-text, AI quote generation, retry-safe orchestration, fallback generation, throttling, public quote caching, and server-side purchase validation.

Distributed Ride-Matching Backend

Horizontally scalable Node.js microservices system using MongoDB, Redis, and H3 geospatial indexing. Designed Driver Discovery, Route Matching, and Ride Matching services with an API Gateway, Redis Pub/Sub coordination, and load testing sustaining 300 concurrent virtual users at p99 latency under 950ms.

Multi-Threaded Deep Packet Inspection Engine

C++17 and libpcap producer-consumer DPI pipeline using pthreads, atomic operations, bounded blocking queues, TLS SNI extraction, HTTP Host parsing, rule-based IP/domain/application blocking, zero-copy packet forwarding, graceful shutdown, and detailed packet statistics.

Publications

BTECH CSE