03/2022 - 06/2025
Project Manager
Riss Technologies - Led delivery of enterprise web/mobile apps, oversaw architecture, and directed cross-functional teams using .NET and Python.
Senior Software Engineer
Building scalable and high-quality enterprise solutions.
Project Manager, Full Stack Developer, AI Enthusiast
Akash M Philip is a Postgraduate in Computer Science with over 7.7 years of experience at Riss Technologies. He specializes in leading cross-functional teams to deliver scalable web and mobile applications, while also building 100+ college projects across websites, Android apps, and AI, ML, and Deep Learning solutions.
7.7+Years Experience
100+College Website, Mobile & AI Projects
15+Tech Stacks
Current Focus
Directing enterprise system architecture, AI/ML integration, and end-to-end project delivery strategies.
Overview
A technical leader focused on system optimization and integration.
With a strong background in Computer Science, Akash excels in requirement analysis, modular code development, and performance tuning. His leadership roles involve driving technical decision-making and enforcing high coding standards for production environments.
System Architecture & Design
Expertise in designing scalable backend architectures and RESTful APIs for complex enterprise ecosystems.
Team Leadership
Proven ability to direct development teams, mentor junior engineers, and manage the full project lifecycle.
Optimization Specialist
Dedicated to improving application efficiency, stabilizing production environments, and reducing processing time.
“Effective software engineering is the art of translating business needs into high-quality, maintainable code that delivers real-world stability.”
Experience & Education
A track record of technical growth and professional delivery.
Career Timeline
03/2019 - 03/2021
Senior Software Engineer
Focused on backend architecture, API development, and database query optimization to enhance system reliability and performance.
11/2017 - 03/2019
Junior Software Engineer
Assisted in developing web/mobile components, database integration, and UI logic under senior technical guidance.
Academic History
2015 - 2017
MSc Computer Science
IHRD College Mavelikkara - Advanced study in computational theory and advanced software development.
2012 - 2015
BSc Computer Science
IHRD Mallappally - Foundational degree in computer systems, programming, and database management.
Tech Stack
Mastery over core languages and framework ecosystems.
Core Languages
C# (.NET MVC)95%
Python (Flask/Django)90%
Dart (Android)85%
PHP80%
AI / ML & Data Science
TensorFlow / Keras88%
OpenCV / Scikit-Learn85%
PyTorch / Pandas80%
Hugging Face75%
Database Management
MySQL90%
PostgreSQL85%
MongoDB75%
Engineering & Leadership
System Design92%
Full Stack Development95%
Project Management90%
Team Mentoring88%
Methodologies
Requirement Analysis
Software Testing
Debugging & Optimization
Performance Tuning
Modular Development
Cross-platform Compatibility
Advanced Tech
AI, Machine Learning, and Data Science Proficiency.
Specializing in computer vision and predictive modeling to solve real-world industrial and agricultural challenges.
Computer Vision & Deep Learning
Developing neural networks for image classification and real-time object detection systems.
CNN
TensorFlow
Keras
OpenCV
PyTorch
Data Science & Analytics
Processing complex environmental and enterprise datasets to derive actionable insights and performance metrics.
Pandas
NumPy
SciPy
Matplotlib
Predictive ML Modeling
Building regression and classification models for crop prediction, yield forecasting, and NLP tasks.
Scikit-Learn
Hugging Face
Machine Learning
Portfolio
Strategic projects delivered for diverse industries.
A selection of end-to-end developments featuring integrated web, desktop, and mobile architectures.
Smart Agriculture System
Web and Android platform for farmers and agriculture stakeholders. Uses Deep Learning (CNN) to detect plant diseases from leaf images and Machine Learning models for crop prediction, yield prediction, and fertilizer recommendation from soil and environmental data. Includes an online marketplace where farmers sell directly to buyers, reducing middlemen and improving income.
Smart Museum
Three-part system with Web, Desktop, and Android applications. The web module stores museum assets using QR codes and enables online ticket booking. The desktop module performs camera-based monitoring and triggers alerts to admin on suspicious or robbery events. The Android app allows visitor login and QR scanning so staff can track visitor movements.
Bzone
Web and Android application for kalolsavam management. Students can register for programs, view schedules, and stage allocations. Judges can access contestant details using chest numbers and enter marks digitally. Students can view marks and submit appeals in case of objections, making event operations more transparent and efficient.
Contact
Get in touch
Based in Thiruvalla, India. Available for collaborations and senior technical consultations.
Email
akash.edva@gmail.com
Phone
+91 8281940635
LinkedIn
akash-m-philip-b015a4b2
Facebook
akash.philip.775
Instagram
@akash.m.philip
Location
Thiruvalla, Kerala, India
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