Makhan Jaiswal

Product Manager

Hyderabad, Telangana, India3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built production web platforms and Android ML applications.
Developed high-frequency sensor data logger for real-time analytics.
Published deep learning research in computer vision.

Stackforce AI infers this person is a Full-Stack Developer with expertise in Machine Learning and IoT applications.

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Skills

Core Skills

ReactNode.jsTypescriptMachine LearningAndroid DevelopmentData EngineeringSignal ProcessingComputer Vision

Other Skills

Research CollaborationJWT authrole-based access controldynamic admin panelGSAPLenisparallax effectsJetpack ComposeResNetEfficientNetVGG16CoroutinesWorkManagerCamShiftKalman Filter

About

Full-Stack and Machine Learning Engineer currently building production web platforms and Android ML applications at BIPP (Bharti Institute of Public Policy) — ISB's public policy think tank that delivers data-driven research and analysis to government policymakers. Graduated from IIT Delhi. My work spans scalable React/Node.js dashboards, on-device Android ML inference, and deep learning research published in computer vision. I build end-to-end — system architecture, backend APIs, polished frontend UIs, and trained ML models that actually ship.

Experience

3 yrs 2 mos

Total Experience

2 yrs 1 mo

Average Tenure

1 yr

Current Experience

Indian school of business

Full-stack Developer

Jun 2025 – Present · 1 yr · Hyderabad, Telangana, India · On-site

Building and maintaining production web platforms and Android ML applications for BIPP's government policy initiatives.
Built and deployed Mission Shakti Dashboard (ms.forestgovernance.in) — a full-stack React + Node.js platform for monitoring Odisha's Mission Shakti initiatives, with JWT auth, role-based access control, and a dynamic admin panel.
Built RATIFI platform website (React + TypeScript) with scroll-driven UI using GSAP and Lenis — implementing parallax effects and timeline-based animations.
Built BarkScan Android ML app using Jetpack Compose, integrating ResNet, EfficientNet, and VGG16 models with user-selectable inference switching.
Engineered high-frequency Sensor Data Logger capturing IMU, GPS, and network stats with FFT filtering, handling hundreds of data points/sec using Coroutines + WorkManager.

Research CollaborationTypeScriptReactNode.js

Janyu tech

Machine Learning Engineer Intern

May 2024 – Jul 2024 · 2 mos · Mumbai, Maharashtra, India · On-site

Worked on NSG's DNS surveillance robot project, contributing to tracking, navigation, and computer vision systems.
Developed robot tracking system using CamShift and Kalman Filter with real-time socket communication.
Built ResNet-based orientation correction model achieving 97% accuracy on 10,000+ Google Street View images.
Integrated MediaPipe for hand-gesture navigation and improved GUI with 6 new control features.
Enhanced robot manoeuvrability by modifying firmware for independent wheel velocity control.
Received Letter of Recommendation from CEO for contributions to the project.