Akshat
Sharma
Building intelligent systems at the intersection of machine learning, web engineering, and research.
About Me
Active Developer
& Builder
I'm an actively working developer with 2+ years of professional experience, currently building impactful products at RecursX Innovations Pvt Ltd. I have delivered multiple successful projects end-to-end, spanning full-stack development and production-grade AI systems.
My work spans LLM applications, RAG systems, and knowledge graphs— I've built and shipped production systems integrating Neo4j, vector databases, and FastAPI backends, taking ideas from concept to deployed reality.
Alongside my professional work, I hold an 8.5 CGPAin CS (AIML specialization) at Shiv Nadar University, a spot on the Dean's List, and a Google Cybersecurity Professional Certificate. I bring both academic depth and real-world execution to every project I take on.
Expertise
Technical Skills
Eight domains, production experience — here's a detailed look at what I build with and how.
Core Languages
My foundation is strongest in Python, JavaScript/TypeScript, and C/C++. I use Python daily for ML pipelines, scripting, and data processing. TypeScript powers all my full-stack projects with strong type safety. My C/C++ background gives me confidence working close to the metal — including embedded systems and performance-critical applications. I also write Solidity for smart contracts and Bash for DevOps automation.
Frontend Development
I build polished, production-grade UIs across React, Next.js, and Angular ecosystems. I'm comfortable with complex state management, SSR/SSG with Next.js, component architecture, and CSS animation. I've built everything from animated portfolio sites to enterprise Angular applications at Fealty Technologies, always focusing on accessibility, performance, and smooth user experience.
Mobile Development
⭐ FeaturedHealthcare workflow app — live on App Store & Play Store
I develop cross-platform mobile applications using React Native and Flutter. My most notable app is Mediflow — a healthcare mobile application available on both the iOS App Store and Google Play Store. It streamlines medical workflows and patient management with real-world users across both platforms. I handle the full pipeline: UI design, API integration, push notifications, and release deployment to both stores.
Backend & APIs
Backend is where I'm most productive at scale. I've built production FastAPI services handling vector DB lookups, LLM orchestration, and knowledge graph queries at Fealty Technologies. I've also built Django REST apps with authentication, file handling, and admin dashboards. I design APIs with security, versioning, and performance in mind — always documented with OpenAPI/Swagger specs.
AI / ML & LLMs
AI/ML is my primary research and professional focus. I've built production RAG pipelines, Knowledge-Augmented Generation systems with Neo4j + GNNs, and LLM-based chatbots with multimodal capabilities. At Fealty Technologies, I integrated vector databases (Qdrant, Weaviate) with FastAPI backends for semantic search systems. Academic work spans LSTM forecasting, classifiers, and neuromorphic computing research.
Databases & Storage
I work across relational, document, graph, and vector databases. For AI applications I reach for Qdrant or Weaviate for semantic search. For relationship-heavy data and knowledge graphs, Neo4j with Cypher is my go-to. Everyday apps use PostgreSQL or MongoDB. I use Firebase Realtime Database and Firestore for real-time mobile and web applications.
Blockchain & Web3
I've designed and deployed Ethereum smart contracts using Solidity and Hardhat covering DeFi patterns — escrow, deposits/withdrawals, and reentrancy guards. My CryptoBank project combines Solidity contracts with a FastAPI backend and Next.js frontend into a full decentralised banking prototype. I also built a blockchain-based document protection system using on-chain hashing and permissioned access control.
DevOps & Embedded
I containerise all backend services with Docker and have worked with Kubernetes for orchestration. Proficient in Linux administration and Bash scripting for automation. On the embedded side, I've built IoT prototypes with Arduino, Raspberry Pi, and STM32 — integrating sensors, edge ML inference, and control loops. I also participated in an RC Craft/UAV challenge with custom flight control software.
Career
Work Experience
Backend AI Intern
Fealty Technologies Pvt. Ltd.
- Built production-grade RAG applications and AI-driven knowledge graph systems.
- Integrated Qdrant / Weaviate vector databases for semantic retrieval pipelines.
- Deployed LLM-based tools for querying structured and unstructured data.
Full-Stack & Backend Intern
Fealty Technologies Pvt. Ltd.
- Developed full-stack enterprise apps with Angular frontend and Django backend.
- Containerised services using Docker and deployed to cloud environments.
- Worked on backend services and API design for production systems.
Teaching Assistant
Shiv Nadar University
- TA for Introduction to Computing (2025) and Probability & Statistics (2026).
- Mentored students, held office hours, and assisted in grading and course material.
Research Assistant
Mechanical Dept., SNU
- Conducted lattice-based molecular simulations across diverse structural configurations to analyze system behavior and performance
- Developed Bash automation scripts for bookkeeping and workflow management, streamlining data handling and preprocessing.
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Portfolio
Selected Projects
A collection of production-grade builds, research prototypes, and open-source contributions.
Mediflow — Healthcare Mobile App
Cross-platform healthcare app for medical workflow management, available on both the App Store (iOS) and Google Play Store (Android). Built with React Native, featuring patient management, appointment scheduling, and real-time notifications.
GraphRAG Social Intelligence System
End-to-end GraphRAG pipeline for social intelligence that converts unstructured text into structured knowledge graphs and enables multi-hop reasoning via LLMs. Includes indexing workflows, entity-relationship extraction, and flexible querying (global/local/chat) over graph memory for context-aware insights.
Real-Time KAG for Node Classification & Link Prediction
Production-style Knowledge-Augmented Graph system integrating GNN-based node classification and link prediction with real-time graph updates. Features hybrid pipelines combining graph embeddings, LLM reasoning, and API-driven workflows for dynamic inference on evolving graph data.
NOAA COOPS Interactive AI Chatbot
Open-source AI chatbot querying oceanographic datasets with natural language. RAG pipeline combining vector search and structured API queries over NOAA sensor data.
Dynamic Database AI Chatbot
AI assistant enabling natural language queries over arbitrary databases. Integrates Qdrant for semantic search and contextual retrieval with secure architecture.
CryptoBank — Web3 Banking System
Decentralised banking prototype with Solidity smart contracts, FastAPI backend, and Next.js frontend. Implements deposit/withdrawal via Ethereum and Hardhat.
NotesMania — College Notes Platform
Centralised notes-sharing platform built with Angular frontend and FastAPI backend. Includes user authentication and a clean, community-focused UI.
TaxiAdda — Real-Time Cab Booking
Next.js frontend with Firebase Realtime DB for live driver locations and bookings. Deployed demo with realtime tracking functionality using Firebase (GMaps API).
Phishing Website Detection
Extracted lexical and domain features; trained a random forest classifier wrapped in a Django demo. Hackathon 1st-place winning prototype.
KNN Credit Card Case Study
Full preprocessing pipeline, feature engineering, and KNN with cross-validation for credit approval prediction. Deployable inference API included.
Get in Touch
Let's Build
Something Great
Whether it's a collaboration, research opportunity, internship, or just a conversation about tech — I'm always open. Reach out any time.
Akshat Sharma
ML & AI Systems Developer