Available for Opportunities
Mohammad

Maroof

Software engineer focused on backend systems, AI engineering, security and distributed systems. Experienced in building scalable APIs, AI-powered applications, secure data workflows and cloud infrastructure using Python, TypeScript, FastAPI and modern web technologies.

229+
Automated Tests
6
Security Layers
9.75
CGPA
Scroll
01

Experience

NOKIA SOLUTIONS NETWORK Current
Intern — 5G Core Network Simulation
September 2026 – Present · CNSIM · Bengaluru, India
Part of Nokia's CNSIM team, analyzing 3GPP-aligned 5G SA Core procedures across AMF and LMF, examining NG setup, registration, PDU session and positioning flows through simulator code and signaling logs. Configured Linux build toolchains to compile simulator components across AMF, UPF and LMF services, enabling remote development on team infrastructure. Delivered production code contributions to the LMF simulator by engineering generalized measurement-abort handling, updating and debugging Python integration test suites until the full targeted suite passed. Driving patchsets through Gerrit peer reviews, validating changes with CI regression testing, and currently implementing LMF measurement-amount functionality with expanded automated test plans.
5G SA Core
AMF & LMF Call Flows
LMF Features
Measurement Abort & Amount
Build Toolchain
Linux & NF Binaries
Test Automation
Python Integration Tests
Peer Review
Gerrit Patchset Iterations
Validation
Regression Suites & Logs
5G SA CNSIM AMF LMF UPF gNB 3GPP NAS / NGAP Python Linux Git Gerrit Integration Testing Regression Testing
SENTRIX | TALENCIAGLOBAL
Software Development Intern
July 2026 – September 2026 · Chennai, India
Contributed to an enterprise AI security platform and recruitment systems. Engineered an AI governance layer using FastAPI and Open Policy Agent (OPA), enforcing policies across nine REST endpoints with 25+ threat detection patterns, and designed observability across eight containerized services using OpenTelemetry, Prometheus, Grafana, Elasticsearch and Kibana.
Developed recruitment backends and asynchronous email workflows using FastAPI, PostgreSQL, Redis and ARQ. Engineered asynchronous AWS Bedrock pipelines for Role, Student and Company DNA profiling with structured outputs, evidence tracking, company insights and evidence-validated Smart Pools clustering.
AI Governance
OPA & 25+ Threat Rules
Telemetry
OpenTelemetry & ELK
Async Workflows
Redis, ARQ & PostgreSQL
AWS Bedrock
DNA Profiling Pipelines
Backend APIs
RBAC & Audit Workflows
Smart Pools
Candidate Clustering
Python FastAPI PostgreSQL Redis ARQ AWS Bedrock OPA OpenTelemetry Prometheus Grafana Elasticsearch Kibana Docker AI Governance RBAC
XENKRYPT TECHNOLOGIES
Software Development Intern
December 2025 – March 2026 · Chennai, India
Architected Encrypti-V backend services using Node.js, TypeScript and PostgreSQL, supporting 23 documented mail and chat API endpoints with batch retrieval of 100 records per request. Built and deployed the company website using Next.js 16, implementing responsive user interfaces while optimizing rendering, asset delivery and code splitting.
Implemented client-side zero-knowledge encrypted file sharing using AES-256-GCM and post-quantum ML-KEM-1024. Engineered 1 MB chunked processing and Origin Private File System (OPFS) streaming for memory-efficient large file transfers directly in the browser, eliminating memory bottlenecks and securing end-to-end data pipelines.
Backend APIs
23 Mail & Chat Endpoints
Batch Querying
100 Records / Request
Cryptography
AES-256-GCM & ML-KEM
Streaming
1 MB OPFS Chunking
Next.js 16
Modern Web Platform
Performance
Asset & Code Splitting
Next.js 16 React TypeScript Node.js Express PostgreSQL REST APIs AES-256-GCM ML-KEM-1024 OPFS Cryptography Tailwind CSS Lighthouse
02

Projects

01
Argus
Secure Intelligent Query Gateway
A zero-trust SQL gateway designed to secure database access while supporting AI-powered querying, query validation, encryption and performance optimization. Built with 49 REST endpoints and a six-layer security pipeline covering authentication, threat detection, AI guardrails, caching, execution and encryption, backed by 229 automated tests.
Implemented AES-256-GCM envelope encryption with live DEK rotation, SQL AST validation, and shipped six AI database features including natural-language-to-SQL and query explainability. Built Redis caching with table-aware invalidation, reducing measured latency from 14.27 ms to 3.55 ms while sustaining 74.1 requests per second under load.
229
Automated Tests
6 Layers
Security Pipeline
3.55 ms
Measured Latency
49
REST Endpoints
Python FastAPI PostgreSQL Redis React Docker AES-256-GCM SQL AST AI REST APIs
02
AetherOps
AI Cloud Deployment Platform
An AI-powered cloud deployment platform engineered to translate natural-language infrastructure requirements into deployment configurations, support multi-cloud provisioning and enable real-time deployment monitoring. Built with an intuitive React interface and Node.js backend services, automating cloud infrastructure translation across AWS, GCP and Azure.
Engineered an eight-step AI deployment platform leveraging two local LLMs to translate natural-language requirements into Terraform, Docker, Kubernetes and CI/CD configurations for AWS. Built ten REST API endpoints and Server-Sent Events (SSE) for real-time Terraform logs, CloudWatch metrics, tenant provisioning and multi-cloud validation.
8 Steps
Deploy Workflow
2 LLMs
Local Models
Multi-Cloud
AWS, GCP & Azure
SSE
Real-Time Streams
React Node.js AWS Terraform Docker Kubernetes Ollama LLMs SSE REST APIs
03
SentinelAI
Intelligent Traffic Enforcement Command Platform
SentinelAI is an AI-powered traffic enforcement command center that intercepts raw surveillance feeds and processes them through a four-stage computer vision pipeline. Using YOLOv8 for real-time traffic violation detection and a streaming OCR subsystem powered by Gemini 2.0 Flash, it reliably extracts license plates while applying automated civilian privacy blurring.
The platform integrates real-time evidence governance, automated civilian blurring, and AI-assisted traffic intelligence while generating natural-language operational briefings for law enforcement. Built with FastAPI and Next.js, featuring interactive Leaflet mapping, incident heatmaps and automated violation logging.
YOLOv8
Violation Detection
OCR Subsystem
License Extraction
Privacy Shield
Civilian Blurring
4-Stage Pipeline
Real-Time Vision
Python FastAPI Next.js React Tailwind SQLite YOLOv8 PyTorch Gemini 2.0 Flash Leaflet
04
InvoStake
Secure AI-Driven Liquidity & Privacy Optimization Platform
InvoStake is a decentralized finance platform tackling capital inefficiency and data privacy by acting as a liquidity optimization engine. It unlocks locked tokens to deepen market liquidity, while its core utilizes Fully Homomorphic Encryption (FHE) to perform complex analysis directly on encrypted data, backed by robust C++ components and Solidity/Move smart contracts.
An intelligent Python-based AI agent analyzes real-time market data via TradingView and Ocean Protocol APIs to identify fair value gaps and construct risk-tailored token baskets. Delivered via a dynamic React frontend bridging sophisticated on-chain yield strategies with zero-knowledge cryptographic privacy guarantees.
FHE Core
Encrypted Analysis
Liquidity Engine
Capital Efficiency
AI Agents
Token Baskets & Risk
Smart Contracts
Solidity & Move
Solidity React JavaScript C++ Python Foundry Move TradingView API Ocean Protocol FHE
03

Skills

5G Core (5GC) 5G SA Python TypeScript FastAPI LangGraph Next.js React.js AMF / LMF PostgreSQL Redis AWS Terraform Docker Kubernetes 3GPP Procedures NAS / NGAP CNSIM Python Integration Testing AI Agents RAG LLMs AWS Bedrock OPA AES-256-GCM ML-KEM Node.js Express.js REST APIs OpenTelemetry Prometheus Grafana Elasticsearch Kibana C++ Rust SQL Linux Git Gerrit UPF gNB UE UEC Regression Testing GitHub Actions CI/CD RBAC JWT Tailwind CSS MongoDB MySQL Microservices
04

Education

B.Tech in Computer Science and Engineering
SRM Institute of Science and Technology, Chennai, India
9.75
CGPA
2023–2027
Duration
Higher Secondary Education
SP Higher Secondary School, Srinagar
95.4
Percentage
2021–23
Duration
Secondary Education
Burn Hall School, Srinagar
89.6
Percentage
2011–21
Duration
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