Software Engineer • Mumbai, India

Vedant
Deshmukh

Architecting resilient distributed systems and engineering intelligent AI automation.

Experience

Growth Infi

Software Engineer (AI Automation)

Mar 2026 – Present

Growth Infi

  • Developed an automated Domain Enrichment Engine using Next.js and TypeScript to resolve raw company names to verified official domains, reducing manual lead prospecting time by 75%.
  • Engineered a multi-stage Email Verification Pipeline integrating open-source engines to achieve high-fidelity filtering, increasing campaign deliverability.
  • Building an Automated Outreach Orchestrator to handle high-volume calendar invitations and scheduling logic.
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

  • Launched a Scalable Research Platform using PHP and MySQL, supporting 1,000+ concurrent sessions for linguistic studies.
  • Built a Multi-Tenant Admin Dashboard with real-time telemetry and user-workflow controls.
  • Automated Analytical Data Pipelines to calculate complex metrics (WPM, CER, TER), reducing manual effort by 80%.

Tech Stack

Languages

C++PythonJavaTypeScriptJavaScriptSQLPHP

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