Open to Software Engineer roles · Graduated · 8.94 CGPA

Syed Mohammad
Saad

>

I build secure, scalable distributed systems in Java and Python. Most recently I solo-architected FinTwin.ai end to end — four services, a self-hosted LLM copilot, Kubernetes deployment and ~180 automated tests. Two published research papers, and graduated with a B.E. in Information Technology from PICT Pune with an 8.94 CGPA.

Portrait of Syed Mohammad Saad
Java · Spring Boot
Docker · K8s
Python · FastAPI
0 CGPA at PICT Pune
0 Research publications
0 Automated tests on FinTwin
0 Shipped projects
01 — About

Engineer first, builder always.

I'm an Information Technology graduate of Pune Institute of Computer Technology who builds backends that hold up under load — and the interfaces, schemas and deployment pipelines that sit around them.

My clearest proof of that is FinTwin.ai: a personal finance platform I architected and shipped alone as a four-service distributed system — a React + Vite frontend, a Spring Boot core API on Java 21, a separate identity service and a Python/FastAPI AI service, all on PostgreSQL with Flyway migrations. It runs a self-hosted LLM copilot on Ollama through an OpenAI-style tool-calling loop, so the model queries real data through a secured internal API instead of being prompt-stuffed — and costs nothing per token. It deploys on Kubernetes with zero-downtime rolling updates, autoscales 2 → 10 replicas, and is covered by ~180 tests across Testcontainers and pytest.

The research side runs in parallel: a real-time yoga pose-correction model (MediaPipe + CNN/XGBoost, 92% accuracy) published at IEEE ICCCNT 2025, and an MLP/LSTM intrusion-detection system for DoS and DDoS traffic published in the ISTE journal, 2026. I care about things that actually run — real error handling, real observability, real tests. Looking for a full-time software engineering role, available to start immediately.

Based inPune, Maharashtra
DegreeB.E. Information Technology
AvailableImmediately
FocusBackend · Distributed Systems · ML
02 — Experience

Where I've shipped.

Jan 2025 — Apr 2025 Virtual

Google AI/ML Virtual Internship

Eduskills

  • Implemented ML pipelines for classification and NLP using CNN and XGBoost across 50,000+ records, improving accuracy 15–20%.
  • Designed RESTful APIs for secure inter-service transmission, improving transfer efficiency by 30%.
PythonCNNXGBoostNLPREST APIs
Feb 2025 — Apr 2025 Pune

Yoga Pose Detection Internship

Pune Institute of Computer Technology

  • Developed a real-time posture analysis system using MediaPipe, CNN, XGBoost and SVM — 20% accuracy gain, 35% better error detection, 25% faster processing.
  • Led a 3-member team across the full lifecycle: design, deployment, testing, performance tuning and UX.
  • Integrated secure communication and fault-tolerant response design for live-streaming analytics.
MediaPipeOpenCVCNNSVMTeam lead
03 — Research

Two published papers.

One at an IEEE conference, one in a national journal — both built, trained and evaluated end to end.

IEEE 16th ICCCNT 2025 IIT Indore Paper #3374

Yoga Pose Detection and Correction Using Machine Learning Approaches

A real-time posture correction model that gives corrective feedback to yoga practitioners, reaching 92% pose accuracy. It pairs MediaPipe pose estimation with a CNN and XGBoost ensemble to classify postures and suggest alignment corrections on the fly — a scalable approach for healthcare and fitness that makes guided practice accessible without an instructor in the room.

  • Real-time skeletal keypoint extraction with MediaPipe + OpenCV
  • Multi-model classification (CNN / XGBoost / SVM) for posture accuracy
  • Per-joint alignment deltas translated into human-readable corrections
Python MediaPipe OpenCV CNN XGBoost SVM
92%pose accuracy
2025year published
IEEEconference venue
Journal Indian Journal of Technical Education ISTE 2026

Machine Learning Techniques for Detecting DoS and DDoS Attacks: Methods, Attacks and Datasets

An intrusion detection system that separates malicious denial-of-service traffic from benign flows using MLP and LSTM models, achieving over 99% accuracy on CIC-IDS benchmarks. The paper also surveys the attack surface and the datasets the field trains on, and where those datasets quietly mislead.

  • MLP and LSTM classifiers trained and evaluated on CIC-IDS benchmark traffic
  • >99% detection accuracy across volumetric and protocol-level attack classes
  • Comparative review of detection methods, attack taxonomies and public datasets
Python MLP LSTM CIC-IDS Network security
99%+detection accuracy
2026year published
ISTEjournal venue
04 — Skills

The stack I actually ship with.

Languages & Fundamentals

Java 21PythonSQL JavaScriptC++DSA OOPOSDBMSNetworking

Frontend

ReactViteTailwindCSS ZustandHTML5CSS3

Backend, APIs & Auth

Spring BootFastAPINode.js ExpressMicroservicesREST APIs JWT / OAuth2RBACAES-256Socket.io

Data & Storage

PostgreSQLMySQLMongoDB RedisFlywayHikariCP Schema design

Cloud & DevOps

DockerKubernetesAWS Lambda · EC2 · S3API GatewayGCP CI/CDPrometheus / GrafanaTestcontainers

ML & AI

MediaPipeOpenCVCNN XGBoostSVMLSTM / MLP LLM / OllamaAWS Comprehend
05 — Work

Things I've designed & built.

Twelve projects across distributed systems, machine learning and security. Most are live — click through.

FinTwin.ai four-service architecture diagram
Flagship Solo-built 2026

FinTwin.ai — AI-Powered Personal Finance Platform

A personal finance platform with bank-account aggregation via Setu AA, plus budget, goal, investment and net-worth engines featuring real EMI & DTI computation and a water-fill savings-allocation algorithm. Architected and shipped end to end, alone.

  • Architected a production-grade 4-service distributed system — React + Vite frontend, Spring Boot (Java 21) core API, a separate identity service and a Python/FastAPI AI service over PostgreSQL with 14 Flyway migrations.
  • Engineered JWT auth with refresh-token rotation and theft detection, TOTP 2FA, Google OAuth, and RBAC via a custom Spring Security permission evaluator, with AES-256-GCM field-level encryption of financial data.
  • Deployed a self-hosted LLM copilot on Ollama (qwen2.5 / phi3) using an OpenAI-style tool-calling loop that fetches user data through a secured internal API rather than prompt-stuffing — no paid API dependency.
  • Eliminated N+1 query hotspots with Redis-backed distributed rate limiting, Caffeine caching, HikariCP tuning, paginated batch jobs replacing full-table scans, and parallel market-data fetching.
  • Shipped on Docker and Kubernetes (HPA 2 → 10 replicas, zero-downtime rolling deploys) with Prometheus/Grafana monitoring, 5 CI/CD workflows and ~180 tests (48 Testcontainers, 129 pytest).
Java 21Spring BootFastAPI React + VitePostgreSQLRedis KubernetesOllamaPrometheus
Real-time chat application interface Live

Real-Time Chat Platform

One-to-one and group messaging with delivery-status tracking over Socket.io. Sessions secured with JWT and bcrypt; sustained <50 ms message delivery across concurrent sessions.

MERNSocket.ioJWTbcryptZustand
Sentiment analysis pipeline diagram Code

Sentiment Analysis Service

A Spring Boot microservice on AWS Comprehend that scores user feedback in real time through asynchronous, non-blocking REST APIs. Environment-scoped credentials and defensive error handling throughout.

Spring BootAWS ComprehendFlaskboto3Async REST
TLS handshake diagram Code

Hybrid Cryptography over TLS

Client–server channel built on Java SSL sockets: TLS 1.2 with ECDHE-RSA key exchange and AES-256-GCM for confidentiality, integrity and perfect forward secrecy. Custom X.509 certificate auth via Java KeyStore.

Java 17JSSE / JCAAES-256-GCMRSAX.509
Restaurant reservation system Live

Food Reservation System

Table booking and pre-ordering for restaurants. Diners browse open slots and confirm instantly, while server- and client-side validation prevents double-booking and keeps order state accurate.

MongoDBExpressReactNode.js
Appointment scheduling board diagram Code

Hospital Management System

Patients log in, book consultations and message providers; an admin panel manages appointments, messages and doctor records. Scheduling conflicts are caught before they reach the database.

MERNAuthAdmin panel
Facial emotion to playlist diagram Code

Emotion-Driven Music Recommender

Reads facial expression in real time to infer mood, then curates a matching Spotify queue — recommendations that respond to how someone actually feels rather than what they last played.

PythonComputer VisionSpotify API
Legal chatbot conversation diagram Code

Legal Assistance Chatbot

A dialogue system that makes legal process legible to non-lawyers, backed by LLMs over a legal knowledge base. I built the front end — the conversation flow, case breakdowns and result views.

LLMsPythonJavaScriptCSS
Carbon footprint calculator Live

Track My Carbon

A calculator for the CO₂e an individual or organisation emits directly and indirectly over a period — built to turn an abstract number into something people can act on.

JavaScriptHTML5CSS3
E-commerce storefront Live

E-Commerce Storefront

A storefront focused on browse-and-compare: clear product displays, unfussy navigation and a checkout path with secure payment integration.

JavaScriptHTML5CSS3Payments
Pose skeleton with keypoint detection diagram IEEE

Yoga Pose Detection & Correction

The system behind my ICCCNT 2025 paper: MediaPipe pose estimation feeding a CNN / XGBoost / SVM ensemble that classifies posture and returns real-time alignment corrections.

PythonMediaPipeOpenCVCNNXGBoost
DoS and DDoS detection neural network diagram Journal

DoS / DDoS Intrusion Detection

An intrusion detection system separating attack traffic from benign flows with MLP and LSTM models, reaching >99% accuracy on CIC-IDS benchmarks. Published in the ISTE journal, 2026.

PythonMLPLSTMCIC-IDSNetwork security
06 — Contact

Let's build something.

Hiring for 2026, want to collaborate, or just curious about a project? My inbox is open.

Or email me directly at mdsaadsyed29@gmail.com