Software Engineer • Mumbai, India
Open to Full-Time SDE / Backend Roles

Vedant
Deshmukh

Software Engineer focused on backend systems, distributed architectures, and AI-powered automation.

My experience spans backend engineering, full-stack development and AI research, with a strong interest in building scalable systems and developer-focused tools.

Experience

Growth Infi

Software Engineer (AI Automation)

Mar 2026 – Present

Growth Infi

  • Built a domain enrichment pipeline (name → search → validation → ranking) using Next.js and PostgreSQL (Supabase), reducing manual prospecting time by 75%.
  • Designed a multi-stage email verification system (syntax, MX, SMTP, heuristic scoring) integrating open-source engines to improve deliverability.
  • Built an automated calendar invitation orchestrator using BullMQ to handle high-volume scheduling, implementing exponential backoff and rate-limiting to ensure successful bulk invitations.
DeepCytes CyberLabs (UK)

AI Intern

Jun 2024 – Dec 2024

DeepCytes CyberLabs (UK)

  • Developed deepfake detection systems using CNN–LSTM pipelines with high accuracy.
  • Built real-time inference pipeline under 500ms latency for live video analysis.
  • Optimized preprocessing pipelines by 30% through vectorization and efficient data loading.
IIT Bombay

Full Stack Intern

Jan 2024 – Jul 2024

IIT Bombay

  • Engineered a benchmarking platform for Indic language input using PHP and MySQL, handling complex session-to-phrase mapping for 1,000+ concurrent users.
  • Designed a research orchestrator allowing for 'Between-Subject' and 'Within-Subject' study configurations with secure, unique URL-based user tracking.
  • Integrated real-time analytics using Chart.js to visualize CPM, WPM, and error trends, automating the data pipeline and reducing manual research computation by 80%.

Tech Stack

Languages

TypeScriptJavaScriptJavaC++PythonSQLPHP

Frameworks & Backend

Node.jsNext.jsExpressFastAPIFlaskReact

Databases & Arch

PostgreSQLMySQLMongoDBRedisKafkaMicroservices

Infrastructure & Tools

DockerKubernetesAWS (EC2/S3)CI/CDGitPostman

Systems & Design

System DesignScalabilityAuthRate LimitingUnit Testing

Machine Learning

PyTorchTensorFlowScikit-learnNumPyPandas

Projects

FynVid

FynVid

Scalable distributed video platform with Kafka-based event processing, Redis-backed rate limiting, and NGINX load balancing.

KafkaRedisDockerMongoDBJavascriptExpressReactNGINX

IRS Jamming Detection

ML framework using CNN-LSTM to detect jamming attacks in UAV base stations with 87.26% accuracy using ns-3 simulations.

ns-3mmwave OPEN SOURCEC++PyTorchLSTM

Application to record Text-Input Studies

Research platform supporting 1000+ sessions for Indian language typing experiments with automated data pipelines.

PHPMySQLJavaScript

Publications

Nov 2024Springer Nature Switzerland

IDCText: An Application for Conducting Text Input Research Studies in Indian Languages

Vedant Deshmukh, Anirudha Joshi

Released a web-based research tool for text entry studies in Indian languages. Automatically calculates WPM, CER, and TER metrics.

Apr 2024Springer Nature Switzerland

Skin Cancer Classification Using Transfer Learning

S. Dhage, H. Chawan, A. Hoskote, A. Dabholkar, V. Deshmukh

Proposed a DenseNet201-based CNN model achieving 90.39% accuracy in classifying 8 distinct types of skin lesions.

Education

Sardar Patel Institute of Technology

Bachelor of Technology in Computer Engineering

AlgorithmsSystem DesignOperating SystemsDistributed SystemsDBMSComputer Networks
9.01/ 10
Cumulative GPA
2021 — 2025