Ashish AVS

Software Engineer

Bengaluru, Karnataka, India2 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Optimized API tool latency from 105s to 5s.
Developed E2E testing platform for autonomous delivery.
Created automated diagnosis website for rare skin disease.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in distributed systems and full-stack development.

Contact

Skills

Core Skills

Distributed SystemsMicroservicesGo (programming Language)React.jsFull-stack DevelopmentBack-end Web Development

Other Skills

ShellDockerKubernetesFog ComputingTensorFlowArtificial Intelligence (AI)Deep LearningFull stackFederated LearningNetwork SecurityData ScienceMachine LearningNatural Language Processing (NLP)LangchainLarge Language Models (LLM)

Experience

2 yrs

Total Experience

2 yrs

Average Tenure

2 yrs

Current Experience

Uber

2 roles

Software Engineer II

Promoted

Mar 2026 – Present · 3 mos · Bengaluru, Karnataka, India

ShellDistributed SystemsMicroservicesDockerKubernetesFog Computing+38

Software Engineer

Jun 2024 – Mar 2026 · 1 yr 9 mos · Bengaluru, Karnataka, India

Developer Platform & Data Platform
Optimised latencies of Uber's internal API querying tool to improve chrome web vitals from 105s to 5s and save 3.6k developer hours
Developed platform for E2E testing and trip simulation on web and mobile for Uber's Autonomous mobility and delivery.
Actively participated in on-call rotations, Authored engineering docs, EngWikis to assist with onboarding and improve customer engagement in using the product

Go (Programming Language)React.js

Cisco

Software Engineer Intern

Jan 2024 – Jun 2024 · 5 mos · Bangalore Urban, Karnataka, India · On-site

Intern at Distributed Systems Engineering
Working with ReactJS, NodeJS, Flask, Microservices, Python for manageability in Cisco's IOS XR (Recieved PPO)

EngineeringFull-Stack Development

Institute of genomics and integrative biology (csir)

Intern

May 2021 – Jul 2021 · 2 mos · Delhi, India

Worked under the supervision of Dr Vamsi K Yenamandra
Developed a website for automated and easy diagnosis of E.Bullosa (rare skin disease), in multiple languages following i18n, to diagnose and generate patient reports
Implemented a novel dignostic matrix from a research paper in the flask backend and deployed it on Heroic

Back-End Web DevelopmentFull-Stack Development