Hi,
I am Aashish
I build systems that scale.
FullStack engineer building scalable products, AI integrations, and real-time web applications.
Focus Areas
Backend systems and API design with Node.js, Go, and Python
AI/ML pipelines using LangChain, RAG workflows, and AWS Bedrock
Event-driven architecture and real-time applications
3+
Years Experience
10+
Projects Shipped
I turn messy ideas into working products.
I help startups and businesses build scalable digital products, from high-performance backend systems to AI-powered applications and fullstack modern web platforms.
My experience spans full-stack product development, custom AI integrations, event-driven architectures, and real-time systems, with a focus on writing clean, maintainable software that scales with the business.
I enjoy collaborating closely with teams, solving difficult technical problems, and shipping reliable products that create real impact.
Systems First
I approach problems by understanding the bigger picture before diving into code.
Fast Execution
I ship fast without sacrificing quality. If it can be automated, I automate it.
Clean Code
Readable, maintainable code that other engineers actually enjoy working with.
Where I've built things that matter
From startups to scale-ups, I've built systems designed for scale, reliability, and real-world usage.
Software Developer Engineer
- Owned end-to-end development of a multi-tenant Help Center platform with a real-time editor and live preview.
- Contributed to a production AI platform serving 100k+ users, building event-driven LLM pipelines.
- Integrated Slack/Teams webhooks to power AI-powered workflows.
- Refined prompt design and retrieval strategies to increase relevance and reduce hallucinations in enterprise use cases.
Full-Stack Engineer (Contract)
- Designed an event-driven HLS video pipeline using S3 triggers and Lambda transcoders for adaptive bitrate streaming.
- Reduced API P95 latency from 6s to 3s by resolving N+1 query patterns and optimizing MongoDB indexing and population.
- Improved throughput via parallelization with Promise.all() and tuning MongoDB connection pooling.
- Led cross-functional teams to ship performance-critical features using Node.js, Docker, and AWS.
Backend Engineer
- Built and maintained RESTful APIs for creator-business collaboration workflows including transaction management.
- Integrated Stripe and PayPal payment gateways, handling complex webhook events for diverse transaction states.
- Optimized Firebase read performance by implementing batch queries, reducing redundant high-frequency data access.
- Migrated backend codebase from JavaScript to TypeScript, enforcing strict typing across all API contracts.
Things I've shipped to prod
A full-stack SaaS for real-time resume analysis and JD matching. Features structured parsing and semantic matching using Gemini API and cosine similarity.
A high-performance NGO platform built with Next.js, focused on accessibility, SEO, payment integrations and fast user experience across devices.
The tools I build with
Technologies and systems I use to build scalable, production-ready applications.
Distributed Systems & Backend
Architecting reliable systems for scale, performance, and real-time workloads.
AI & Machine Learning
Building production-ready AI workflows and LLM-powered applications.
Data & Caching
Designing data layers optimized for speed and reliability.
Infrastructure & DevOps
Deployments, automation, and cloud infrastructure at scale.
Let's build something together
Whether you're building AI-powered products, scaling backend systems, or solving complex engineering problems, let's talk.
Open for production-scale collaborations
aashishgajadhane@gmail.com
GitHub
github.com/arsen1c
aarsen1c
aashish-gajadhane