Aashrut Vaghani

Co-Founder

Surat, Gujarat, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Architected high-concurrency distributed systems.
Founded an AI-powered agritech startup.
Awarded MVP for search infrastructure contributions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Agritech and E-commerce sectors.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Cloud ComputingAmazon Web Services (aws)ElasticsearchMachine Learning

Other Skills

FlutterDartTypeScriptHono FrameworkCloudflare WorkersPythonTensorFlowKerasONNXFirebaseSQLiteJavaSpring BootGo (Golang)AWS

About

I am a Software Engineer specialized in architecting high-concurrency distributed systems and low-latency search infrastructures that serve millions of users. My expertise lies in building resilient microservices using Java (Spring Boot), Go, and Python, while leveraging gRPC, Kafka, and OpenSearch to drive peak system performance. Recognized as a Most Valuable Player (MVP), I have a proven track record of end-to-end project ownership; from designing complex system architectures and Gantt-based execution planning to managing critical on-call incidents and high-availability deployments. I thrive on solving "impossible" engineering bottlenecks, whether it's migrating core services to slash latency or integrating sophisticated Machine Learning models into real-time production workflows. With a deep technical toolkit including Docker, AWS, and Azure, I bridge the gap between robust backend engineering and cost-efficient cloud scaling. I don't just write code; I build automated, test-driven, and scalable solutions that deliver measurable business impact in high-pressure environments.

Experience

1 yr 9 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Swiggy

2 roles

Software Development Engineer I

Promoted

Jun 2025 – Dec 2025 · 6 mos · Remote

Core contributor to Instamart’s Search Infrastructure, handling high-concurrency traffic for quick-commerce. Awarded MVP and Promoted for architecting the "Giftables" search system from 0-to-1.
🚀 Key Achievements:
System Architecture: Designed and built the end-to-end Search Microservices for the "Giftables" business line using Java and Go (Golang).
Cloud Infrastructure: Designed a real-time, event-driven data ingestion pipeline using AWS Lambda, DynamoDB, and SQS to sync catalog updates to OpenSearch instantly.
Search Optimization: Resolved critical production timeouts by optimizing OpenSearch analyzers and synonym tokenization, stabilizing cluster performance.
Reliability & On-Call: Championed system uptime during 24x7 rotations; used Prometheus & Grafana to diagnose anomalies and authored SOPs for rapid incident resolution.
DevOps & Quality: Maintained release stability by leveraging AWS CodePipeline for automated testing and executing safe Canary deployments (0-100% rollout).
AI Integration: Integrated LLM models into the search workflow to enable semantic query expansion.
Operational Efficiency: Refactored backend logic to expose dynamic configurations, enabling Ops teams to manage banners via Retool without engineering intervention.
💻 Tech Stack: Java, Spring Boot, Go (Golang), Python, AWS (Lambda, DynamoDB, SQS, SNS, CloudWatch, Batch), OpenSearch/ElasticSearch, Docker, gRPC, REST, Protobuf, Snowflake, Databricks, Redis, Distributed Systems.

JavaSpring BootGo (Golang)PythonAWSOpenSearch/ElasticSearch+9

Associate Software Development Engineer

Mar 2024 – Jun 2025 · 1 yr 3 mos · Remote

Improving Search Functionality for Swiggy Instamart

JavaAmazon Web Services (AWS)

Agent crop

Founder

Mar 2023 – Present · 3 yrs 2 mos · Surat, Gujarat, India · On-site

Founded and bootstrapped an AI-powered agritech startup enabling farmers to detect crop diseases via computer vision. Selected for Microsoft for Startups and Google Cloud for Startups programs.
Strategic Architecture: Orchestrated a complete backend migration from Azure (Python/Flask) to Cloudflare Workers (TypeScript/Hono), resulting in significantly reduced operational costs and improved global latency.
Mobile Engineering: Architected a robust, offline-first mobile application using Flutter (Dart) and SQLite, featuring localization for 17 languages and integrated Firebase for analytics and messaging.
AI Model Development: Engineered proprietary CNN models using TensorFlow and Keras to perform real-time disease detection and plant identification; optimized models via ONNX for efficient edge inference.
Security & API Design: Designed secure B2B API microservices implementing HMAC-based request signing to facilitate safe commercial partnerships and data access.
Product Leadership: Led the product lifecycle from zero-to-one, expanding functionality from disease detection to plant identification and establishing B2B service agreements.
Technologies: Flutter, Dart, TypeScript, Hono Framework, Cloudflare Workers, Python, TensorFlow, Keras, ONNX, Firebase, SQLite.

FlutterDartTypeScriptHono FrameworkCloudflare WorkersPython+7

Tata consultancy services

TCS iON Remote Internship

Jun 2022 – Jul 2022 · 1 mo · Surat, Gujarat, India · Remote

Built a Deep Learning model in Python that detects type of sentiments (Negative or Positive) in English sentences using various Natural Language Processing Concepts and Libraries.

PandasMachine Learning