Sai Ashrith Vardhan

Software Engineer

Hyderabad, Telangana, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Experienced in building scalable backend systems.
Hands-on experience with AI and machine learning projects.
Strong problem-solving skills in data structures and algorithms.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and scalable systems.

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Skills

Core Skills

JavaSpring BootFastapiDjango Rest FrameworkMachine LearningData Science

Other Skills

AWSDatabricksApache AirflowKotlinDeep LearningParallel ComputingMultithreadingRetrieval-Augmented Generation (RAG)Google VertexGraphQLKubernetesAmazon Web Services (AWS)Back-End Web DevelopmentMulti-core ProgrammingSQL

About

I'm an aspiring Software Developer who genuinely enjoys solving complex problems—be it through Data Structures & Algorithms or building efficient, scalable applications. Skilled in Python and Java with hands-on experience in Backend Development, Artificial Intelligence, Computer Vision, Cloud Technologies, and Agile methodologies. What I love working on: 🚀 Scalable Backend systems that hold up under real-world pressure 🔍 Enterprise Intelligent Search & AI platforms 🧩 Solving challenging DSA problems for fun & growth

Experience

11 mos

Total Experience

9 mos

Average Tenure

2 mos

Current Experience

Intuit

Software Engineer

Apr 2026 – Present · 2 mos · Bengaluru · On-site

Zs

Back End Developer

Jun 2025 – Mar 2026 · 9 mos · Pune District · On-site

Developed and scaled Intelligent Search— a hybrid platform combining Elastic-based keyword search (Solr) with LLM-powered semantic search (Google Vertex AI).
Built asynchronous large-scale document ingestion pipelines using Spring Boot, Airflow, AWS and Databricks, improving orchestration and monitoring.

JavaSpring BootAWSDatabricksApache Airflow

Logy ai

Software Engineer Intern

Apr 2024 – Jul 2024 · 3 mos · Hyderabad · On-site

At LogyAI, I worked on building an AI Skincare solution. Developed Backend systems + deep learning models, and looked after the production cycle.
Incorporated Async IO to increase concurrent connections by 10x and reduce API data exchange latency by 30%.

FastAPIDjango REST Framework