Portfolio
Prasad Mankar
Building intelligent software, AI systems, and scalable applications that solve real-world problems.
The Story Behind the Code
From a diploma student in Amravati to an IEEE-published researcher and full-stack AI/ML engineer — here's my journey.
Software Engineer
Software Engineer with hands-on experience building RESTful backend services, scalable application components, and enterprise-grade systems using Spring Boot, Node.js, Python, and MySQL. Delivered production software across logistics-adjacent, healthcare, and Agri-tech domains through internships and academic projects. Strong foundations in OOP, design patterns, SDLC, unit testing, and version control. Experienced in applying AI-assisted development tools (GitHub Copilot) to accelerate code generation, test creation, and documentation. Published IEEE researcher; NPTEL Certified in Java Programming.
AI/ML Researcher & Builder
Machine Learning Engineer with hands-on experience developing predictive models, NLP pipelines, and deep learning systems using Python, TensorFlow, and PyTorch. I build production AI solutions — from federated learning systems to RAG pipelines and LLM applications — that transform data into actionable intelligence.
Mobile App Developer
Cross-platform mobile developer with deep expertise in Flutter and React Native. I've shipped live apps to production — from AI-powered crop insurance platforms serving 500+ farmers to donor-matching apps with 70% engagement lifts — using Firebase, FCM, Google Maps API, and real-time databases.
Published IEEE Researcher
Published 3 research papers — 2 in IEEE Xplore 2025 (EEG depression classification, Lumpy Skin Disease detection) and 1 in IJRCIT 2024 (climate-based crop planning). Winner of the International AI Paper Award for applied ML research. R&D Cell Coordinator at SVCPET, mentoring junior researchers toward publication.
Hackathon Competitor
Ranked Top 16 out of 200+ teams in a national-level AI & software engineering hackathon. Technical Workshop Facilitator for 50+ students. With 1.5+ years of professional internship experience across AI/ML, full-stack, and mobile development, I bring a rare combination of research depth and engineering execution.
Education
B.Tech in Information Technology
St. Vincent Pallotti College of Engineering & Technology
Nagpur, India · Sep 2023 – Apr 2026
CGPA: 7.90/10Diploma in Information Technology
Government Polytechnic College
Amravati, India · Nov 2020 – Jul 2023
80.26%My Technical Arsenal
Spanning full-stack engineering, AI/ML research, and cross-platform mobile development.
Also working with
Where I've Worked
Professional internship experience spanning AI/ML engineering, full-stack development, and mobile applications.
Northern Lights Analytics
Software Developer / ML Engineer / Mobile Developer Intern
- Built cross-platform AI-powered crop insurance Flutter app with geotagged image capture, FCM push notifications, and Firebase real-time sync — cutting claim response time by 40% and onboarding 500+ active farmers
- Deployed AI/ML incident validation modules using ML classifiers, significantly reducing false-positive claim submissions and improving prediction reliability
- Led Agile sprint planning as ML project lead — managed data requirements, tracked model development milestones, and coordinated cross-functional team deliverables
- Implemented role-based dashboards (farmer/admin/agent), offline data caching, and OTP-based authentication for security across low-connectivity environments
Asterisc Technocrat
Android Developer Intern
- Built Blood Donation Android app with real-time donor-recipient matching, live availability tracking, and FCM notifications — boosted platform engagement by 70%
- Developed Food Donation Android app with Google Maps API for location-based donor discovery and real-time communication workflows
- Both apps deployed to live users within the internship period with 70% increased platform engagement
Compilers Technology
Software Engineer Intern
- Designed and developed a Fee Management System in Java with MySQL, automating fee collection, payment reconciliation, and student record workflows for college administrative staff
- Built Pharmacy Management System using Python + MySQL — automated reconciliation and inventory workflows, cutting manual effort by 90%
- Improved financial transparency and reduced administrative paperwork significantly
What I've Built
9 production-ready projects across AI/ML, full-stack web, and cross-platform mobile — each solving real-world problems.
AI-Powered Crop Insurance Platform
Cross-platform Flutter mobile app with geotagged image reporting, AI incident validation, real-time claim processing, and role-based dashboards serving 500+ active farmers.
Impact
500+ farmers · 40% faster claims · 2 deployment cycles
Student ERP System
Full-stack college ERP with geo-tagged GPS attendance, digital leave management, real-time complaint tracking dashboard, and multi-role portals for faculty, admin, and students.
Impact
40% less paperwork · 100+ students · Multi-role portals
Real-Time Pharmacy Ordering Platform
Full-stack medicine ordering platform with prescription upload, live GPS delivery tracking, OTP auth, and pharmacy management dashboard.
Impact
40% reduced wait time · 35% better fulfillment efficiency
Birth Outcome Prediction System
Real-time web ML tool analyzing pregnancy parameters to predict delivery mode (Normal/C-section) with high accuracy, deployed via Flask for clinical use.
Impact
95%+ accuracy · Clinical-use interface for healthcare providers
Published & Recognized
IEEE-published researcher with international recognition, combining rigorous research with practical AI/ML applications.
2025 · Conference Paper
Enhanced Classification of Depression Through EEG and Hybrid ANFIS-GA Systems
Novel hybrid ML pipeline combining EEG signal processing with ANFIS-GA optimization for automated and enhanced classification of depression.
2025 · Conference Paper
Enhancing Lumpy Skin Disease Detection Accuracy through CNN-Based Feature Extraction and Multi-Classifier Systems
Multi-classifier CNN ensemble for accurate detection of Lumpy Skin Disease from cattle images. Addresses veterinary AI gap in livestock disease management with high cross-architecture accuracy.
2024 · Research Paper
Climate Based Crop Planning with Disease Prevention Through Data Intelligent Decision Making
Data-intelligent ML system recommending optimal crop choices and risk mitigation strategies based on climate data, historical disease patterns, and regional soil analytics.
Achievements & Certifications
International AI Paper Award
First-place recognition for applied ML research at an international academic conference
2025
Top 16 / 200+ Teams
National AI & ML Hackathon — ranked Top 16 out of 200+ teams in a national-level competition
2024
R&D Cell Coordinator
SVCPET — Led student research initiatives, organized tech events, and mentored junior researchers toward publication
2024–2025
Technical Workshop Facilitator
Delivered hands-on web development workshop for 50+ students at SVCPET covering frontend fundamentals and project-based learning
2024
NPTEL Certified
Java Programming — Completed NPTEL certification (Jan–May 2025)
2025
IEEE Published Author
Published 2 peer-reviewed papers in IEEE Xplore 2025 and 1 in IJRCIT 2024
2025
Suman Sengupta
Director, Northern Light Analytics Private Limited
“Prasad possesses a strong foundation in software development and has shown considerable promise in AI and Machine Learning technologies. He is quick to grasp new concepts, eager to learn emerging technologies, and capable of applying his knowledge effectively to real-world problems. What distinguishes Prasad most is his character — sincere, hardworking, dependable, and highly professional.”
Let's Build Something Great
Open to full-time roles, internships, research collaborations, and freelance projects. Let's connect.
Available for Opportunities
Open to full-time, internship & research roles