Ankit Gupta

Full Stack Software Engineer

Bengaluru, India 2+ yrs exp 85 · Excellent

About

Full Stack Software Engineer with 2+ years of experience building scalable web applications, distributed backend architectures, and DevOps pipelines across SaaS, health-tech, and network management domains. Proficient in React.js, Node.js, Python, FastAPI, and Java, with strong foundations in Data Structures and Algorithms. Skilled in cloud-native deployments AWS, AI/LLM integrations (RAG, OpenAI), authentication systems (JWT, session management), real-time data pipelines, and secure payment systems, consistently delivering production-grade solutions that reduce operational overhead and improve system reliability.

Skills & Expertise (31)

React.js Advanced

8.2/10

Years Exp

Node.js Intermediate

7.8/10

Years Exp

JavaScript Intermediate

7.5/10

Years Exp

Typescript Intermediate

7.2/10

Years Exp

Python Intermediate

6.5/10

Years Exp

REST APIs Intermediate

6.5/10

Years Exp

FastAPI Intermediate

6.5/10

Years Exp

MongoDb Intermediate

6.0/10

Years Exp

Docker Intermediate

6.0/10

Years Exp

AWS Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

CSS3 Intermediate

6.0/10

Years Exp

HTML5 Intermediate

6.0/10

Years Exp

REDUX Intermediate

6.0/10

Years Exp

SQL Intermediate

6.0/10

Years Exp

JWT Intermediate

5.5/10

Years Exp

OAuth Intermediate

5.5/10

Years Exp

MySql Intermediate

5.5/10

Years Exp

Electron Intermediate

5.5/10

Years Exp

Neo4j Intermediate

5.0/10

Years Exp

RAG Intermediate

5.0/10

Years Exp

LangChain Intermediate

5.0/10

Years Exp

agentic AI Intermediate

5.0/10

Years Exp

MCP Intermediate

5.0/10

Years Exp

Session management Intermediate

5.0/10

Years Exp

MQTT Express.js LLM Integration LangGraph Next.js Java

Work Experience

Software Engineer

Neucem

Dec 2025 - Present

Built and scaled an enterprise AI-driven WiFi analytics platform (Cortex AI) processing real-time telemetry from 10,000+ distributed edge devices via an MQTT/AMQP ingestion pipeline backed by FastAPI, MongoDB, and time-series databases; layered a topology-aware Validation Service using Neo4j and Redis to maintain live network knowledge graphs, synchronize wired/wireless topology, and enrich alerts with graph context — cutting alert noise by 50% and enabling intelligent root cause correlation before AI inference. Architected a production RAG platform using LangGraph with a multi-agent workflow (telemetry, RF analysis, client diagnostics, incident summarization agents), embedding-based semantic search over device logs and operational knowledge, and dual-tier short-term + long-term memory — enabling natural-language network operations and reducing mean incident investigation time by 60% across client connectivity, AP instability, and latency spike workflows. Also I have worked on the end to end authentication part using JWT and Session Token.

Software Engineer

Tantiv4

Jun 2024 - Nov 2025

HFCL Canvas – Led frontend development of a router management platform using React.js and Redux, engineering 15+ responsive and modular UI components for device configuration, real-time monitoring, and fleet management workflows; optimized Redux state management patterns to reduce unnecessary re-renders by ~30%, measurably improving dashboard responsiveness and operator experience. Razor & Empowered Networks – Delivered full-stack development of a router management system and built CI/CD pipelines from the ground up, including Docker image creation, AWS ECR integration, and automated deployment to Encompass; reduced deployment cycle time by 50% and established a repeatable, production-ready release process adopted across multiple product teams.

Software Engineer Intern

Instavc

Oct 2023 - May 2024

Integrated a Razorpay secure payment gateway into the Inmeet SaaS subscription platform using Node.js and MongoDB, enabling seamless end-to-end transactions for 1000+ users; implemented Webhooks for real-time payment event processing, eliminating transaction state inconsistencies and increasing payment success reliability by ~25%. Implemented OpenAI-powered intelligent meeting summarization and action-point generation for a SaaS video conferencing platform built on React.js, Node.js, MongoDB, Socket.io, and Electron; reduced post-meeting follow-up time for users by automating note capture, directly boosting user engagement and retention metrics on the platform.