
Aakash Savant
Vadodara, India
Aakash Savant
Full stack Python developer
Category : Consulting and advisory
Aakash Savant is a full-stack engineer focused on building revenue-driving, scalable software systems for SaaS, edtech, and operations-heavy businesses. He works across backend, frontend, cloud, and AI integration, but the core value is reducing operational inefficiencies and accelerating product-market fit.
1. End-to-End Product Development
You don’t just “build apps.” You take products from zero to production.
What this includes:
Requirement breakdown into scalable architecture
MVP development aligned with validation goals
Full-stack implementation (backend + frontend)
Deployment and production setup
Tech stack:
Backend: Python (FastAPI, Django)
Frontend: React, Flutter
Databases: PostgreSQL, MongoDB
APIs: REST, GraphQL
Outcome:
Faster time to market with systems that don’t collapse when usage grows.
2. Backend Architecture & APIs
Most systems fail at the backend layer. That’s where you focus deeply.
What you do:
Design clean, modular backend architectures
Build high-performance APIs
Implement RBAC, multi-tenant systems
Optimize database queries and data models
Advanced capabilities:
Async processing (Celery, queues)
Microservices design
Secure authentication (JWT, OAuth)
Outcome:
Systems that handle scale, not just demos.
3. SaaS Product Engineering
You’re not building “software.” You’re building SaaS businesses.
What you handle:
Multi-tenant architecture
Subscription and billing logic
User lifecycle flows
Admin dashboards and analytics
Use cases:
Edtech platforms
Internal tools for SMEs
Workflow automation systems
Outcome:
Clients get a revenue-ready SaaS system, not just a codebase.
4. AI & Automation Integration
This is where most engineers are weak. You’re not.
What you implement:
LLM integrations (OpenAI APIs, agents)
AI-powered workflows (chatbots, automation tools)
Data pipelines for ML use cases
Recommendation or prediction systems
Practical use cases:
AI customer support systems
Lead qualification automation
Content generation pipelines
Outcome:
Reduced manual work and smarter decision-making systems.
5. Cloud & DevOps Engineering
Most freelancers ignore this. That’s why their systems break in production.
What you do:
AWS / Azure infrastructure setup
Docker containerization
CI/CD pipelines
Monitoring and logging
Tools:
AWS (EC2, S3, RDS, Lambda)
Docker, GitHub Actions
Nginx, Kubernetes (if needed)
Outcome:
Stable, deployable, production-grade systems.
6. ERP & Custom Business Systems
This is a high-value niche. Few engineers understand business workflows deeply.
What you build:
Inventory management systems
Role-based enterprise tools
Workflow automation systems
ERP-like platforms
Special focus:
Retail
Pharma
Operations-heavy businesses
Outcome:
Eliminate manual errors and improve operational visibility.
7. Performance Optimization & Scaling
Fixing broken systems is where real expertise shows.
What you do:
Debug slow APIs and database bottlenecks
Optimize queries and caching
Refactor messy architectures
Scale systems for higher load
Outcome:
Systems that go from fragile to reliable.
8. Consulting & Technical Strategy
This is your leverage layer. Most people skip it.
What you help with:
Product architecture decisions
MVP scoping (avoid overbuilding)
Tech stack selection
Cost vs scalability trade-offs
Who this is for:
Startup founders
Growing SMEs
Teams stuck with poor architecture
Outcome:
Better decisions before money is wasted.
1. End-to-End Product Development
You don’t just “build apps.” You take products from zero to production.
What this includes:
Requirement breakdown into scalable architecture
MVP development aligned with validation goals
Full-stack implementation (backend + frontend)
Deployment and production setup
Tech stack:
Backend: Python (FastAPI, Django)
Frontend: React, Flutter
Databases: PostgreSQL, MongoDB
APIs: REST, GraphQL
Outcome:
Faster time to market with systems that don’t collapse when usage grows.
2. Backend Architecture & APIs
Most systems fail at the backend layer. That’s where you focus deeply.
What you do:
Design clean, modular backend architectures
Build high-performance APIs
Implement RBAC, multi-tenant systems
Optimize database queries and data models
Advanced capabilities:
Async processing (Celery, queues)
Microservices design
Secure authentication (JWT, OAuth)
Outcome:
Systems that handle scale, not just demos.
3. SaaS Product Engineering
You’re not building “software.” You’re building SaaS businesses.
What you handle:
Multi-tenant architecture
Subscription and billing logic
User lifecycle flows
Admin dashboards and analytics
Use cases:
Edtech platforms
Internal tools for SMEs
Workflow automation systems
Outcome:
Clients get a revenue-ready SaaS system, not just a codebase.
4. AI & Automation Integration
This is where most engineers are weak. You’re not.
What you implement:
LLM integrations (OpenAI APIs, agents)
AI-powered workflows (chatbots, automation tools)
Data pipelines for ML use cases
Recommendation or prediction systems
Practical use cases:
AI customer support systems
Lead qualification automation
Content generation pipelines
Outcome:
Reduced manual work and smarter decision-making systems.
5. Cloud & DevOps Engineering
Most freelancers ignore this. That’s why their systems break in production.
What you do:
AWS / Azure infrastructure setup
Docker containerization
CI/CD pipelines
Monitoring and logging
Tools:
AWS (EC2, S3, RDS, Lambda)
Docker, GitHub Actions
Nginx, Kubernetes (if needed)
Outcome:
Stable, deployable, production-grade systems.
6. ERP & Custom Business Systems
This is a high-value niche. Few engineers understand business workflows deeply.
What you build:
Inventory management systems
Role-based enterprise tools
Workflow automation systems
ERP-like platforms
Special focus:
Retail
Pharma
Operations-heavy businesses
Outcome:
Eliminate manual errors and improve operational visibility.
7. Performance Optimization & Scaling
Fixing broken systems is where real expertise shows.
What you do:
Debug slow APIs and database bottlenecks
Optimize queries and caching
Refactor messy architectures
Scale systems for higher load
Outcome:
Systems that go from fragile to reliable.
8. Consulting & Technical Strategy
This is your leverage layer. Most people skip it.
What you help with:
Product architecture decisions
MVP scoping (avoid overbuilding)
Tech stack selection
Cost vs scalability trade-offs
Who this is for:
Startup founders
Growing SMEs
Teams stuck with poor architecture
Outcome:
Better decisions before money is wasted.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
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