A V S Aditya Vardhan

Software Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • UG Gold Medalist with 9.84 CGPA
  • Led engineering teams with 95%+ sprint adherence
  • Developed AI-driven interview assessment tool
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and Data Science.

Contact

Skills

Core Skills

Database ManagementInfrastructure AutomationWeb DevelopmentData ScienceBackend DevelopmentTechnical WritingMachine LearningDeep Learning

Other Skills

AWS LambdaAmazon EC2Amazon Relational Database Service (RDS)BootstrapC (Programming Language)Cloud RunConvolutional Neural Networks (CNN)DSAData StructuresDjangoGitGoogle BigQueryHTMLHTML5Heroku

About

I am AVS Aditya Vardhan, an UG Gold Medalist graduate with a 9.84/10 CGPA from Indian Institute of Information Technology Kottayam. Currently, I serve as a Senior Software Engineer at Shipsy, where I apply my skills to drive impactful software solutions in Logistics & Warehouse Management. My professional journey includes previous roles such as an Intern at IBM, ISL Kochi Lab (January 2022) and an SRE Intern at Medianet, where I specialized in automating the Redis Infrastructure. I have also worked as a Data Science UI Intern at Techolution, where I developed an AI-based restocking recommendation system for commercial refrigerators in the USA. As an AWS Backend Engineer at Fleeks, I designed and deployed a social media application in AWS environments. In 2020, I contributed to Surveysparrow, developing an application to track cursor movements using Heatmaps Library. Additionally, as an AI Intern at UST Global, I worked on brain tumor detection using MRI images. I have been recognized for my achievements, winning $500 in the MIT COVID-19 Turning the Tide Hackathon, receiving the ISL Good Tech Scholar Program award, and being part of the IEEE NIC India Govtechthon 2021. I am passionate about hackathons, frequently participating and mentoring participants. I built an Automated Interview Assessment tool as part of my B.Tech project from scratch. This AI-driven system is designed to assess candidate performance in technical interviews by comparing answers to expected responses, providing a similarity score to gauge the candidate's alignment with company expectations. Feel free to reach out to me at adityavardhanavs@gmail.com. I am open to collaborations on projects and mentorship opportunities.

Experience

5 yrs 6 mos
Total Experience
1 yr 10 mos
Average Tenure
3 yrs 7 mos
Current Experience

Shipsy

4 roles

Lead Software Engineer

Promoted

Apr 2025Present · 1 yr 1 mo

  • Leading an 18-membered 2 engineering teams, driving delivery across multiple product pods with 95%+ sprint adherence and 100% SLA compliance.
  • Spearheaded architecture design and code reviews, ensuring 99.9% deployment success rate and reducing production incidents by 30% year-over-year.
  • Established on-call playbooks and automation pipelines, improving mean time to resolution (MTTR) from 6 hours to <2 hours.
  • Mentored engineers through career development plans, 1:1s, and knowledge-sharing sessions, leading to a 20% improvement in code quality metrics and multiple internal promotions.
  • Introduced AI-assisted development practices (Copilot, ChatGPT, internal tooling), reducing average feature development cycle time by 25%.

Senior Software Engineer L3

Apr 2024Mar 2025 · 11 mos

  • Authored 300+ Pull Requests, delivering over 120+ mixed features and multiple optimisations with 100% on-time delivery.
  • Designed and implemented scalable system architectures including async APIs, queue-based workflows, and high-volume webhook handling, ensuring 99.99% production stability.
  • Improved performance and reliability by optimising database queries, removing legacy dependencies, and strengthening deployment pipelines.
  • Leveraged AI tools (Copilot, ChatGPT, Claude) to accelerate development, automate data migrations, and boost code quality.
  • Mentored 6+ engineers, reviewed critical PRs, and led standups, deployments, and on-call ownership, driving smooth feature releases and incident resolution.

Software Engineer L2

Promoted

Apr 2023Mar 2024 · 11 mos

  • Delivered 180 features with 100% on-time delivery and no SLA breaches.
  • Owned and enhanced key modules including Object Builder, AppFlowConfig v2, Indent Management System, and Page & View Builder.
  • Architected and released major client-facing features such as Auto Allocation scaling (15K consignments in one go), Trip Charges, and International Label Printing services.
  • Ensured 95%+ bug-free production code across Android, iOS, and web platforms while driving critical system optimisations & security (RSA password encryption, PII data protection).
  • Led on-call responsibilities, resolving 178+ production tickets and representing Engineering in client escalations.

Software Engineer

Jul 2022Mar 2023 · 8 mos

  • Delivered 60+ new features and 40+ bug fixes with on-time commitments and near 0% UAT breaches, driving client satisfaction.
  • Owned and implemented critical solutions: Razorpay & PayU UPI integrations, Auto Allocation Engine, Holiday Master v2, and Optimisation Page v2.
  • Resolved 100+ on-call support tickets with zero backlog, earning direct client appreciation.
  • Partnered with cross-functional teams (Engineering Pods, QA, Product) to deliver scalable, client-ready solutions.
  • Ensured production-stable, high-quality code — no PRs reverted; 60% of tickets had zero QA bugs.
  • Mentored support engineers and set SLA-driven on-call processes, averaging 30+ ticket closures per week.

Ibm

Intern

Jan 2022Jun 2022 · 5 mos · Work from Home

  • Worked on Db2 Databases & CDE
Python (Programming Language)IBM Db2SQLDatabase Management

Media.net

Site Reliability Engineer Intern

Jan 2022Jun 2022 · 5 mos · Work from Home

  • Redis Cluster Automation using Python.
KubernetesPython (Programming Language)RedisInfrastructure Automation

Techolution

Data Science Intern

Jun 2021Oct 2021 · 4 mos · Work from Home

  • Swimmer Stroke Detection using Repnet
  • Google APIs for Speech to Text conversion & Text to speech and Integration to streamlit application,
  • Planogram user interface to generate custom planograms for commercial refrigirators.
  • Backend and Microservices Development and Deployment of Automatic Object Recognition Service using AI
Python (Programming Language)Pub/SubGoogle BigQueryDjangoCloud RunData Science

Fleeks

AWS Backend Engineer Intern

May 2021Sep 2021 · 4 mos · Work from Home

  • Developed Backend Application for Fleeks (OnCube Currently) which majorly focuses content creators to earn with their content without paying single penny commission. In that role, I was the key incharge of the Backend Development and Deployment using AWS
Node.jsAmazon EC2AWS LambdaGitBackend Development

Scaler

2 roles

Scaler SuperStars

Apr 2021Jun 2021 · 2 mos

  • Worked with Scaler Discord Team to improve the User Experience of the Server by launching coding competitions, hackathons and technical sessions on latest technologies

Scaler Stars

Jan 2021Apr 2021 · 3 mos

  • Engaged Scaler Discord Members by conducting a Quiz with 10-20 DSA Questions consistently with different levels of difficulty. Self prepared questions using the content from the Internet

Ieee link

Webmaster

Jan 2021Dec 2021 · 11 mos · Kerala, India

  • Build Quiz Application for IEEE Spectrum War using Django from Scratch
  • Provided a brand new restructured website for IEEE LINK Team
  • Maintained Old Site and protected from WordPress Attacks
Wordpress DevelopmentDjangoHerokuWeb Development

Widhya

Machine Learning Intern

Jan 2021Feb 2021 · 1 mo · India

  • Worked on Supervised ML Models to predict Covid 19 Analysis Quantitative Modelling, Instagram Post Reach Prediction, Flight Delay Prediction, Linear Regression Based Stock Price Prediction where we work in community to build competitive and faster models

The sparks foundation

Data Science and Business Analytics Internship

Nov 2020Nov 2020 · 0 mo · Work from Home

  • I had worked on IRIS Clustering and Decision Tree Classifier model to predict the petal type using petal and sepal lenghts and widths. I also worked on Predicting the pass/fail of students in examination based on the study hours of students.
  • Tasks Link: https://github.com/AVS18/grip-all

Surveysparrow

Full-stack Developer

Sep 2020Jan 2021 · 4 mos · Kochi, Kerala, India

  • Worked on Heatmaps
Python (Programming Language)BootstrapDjangoBackend Development

Dbyt dynamics

Backend Developer

Jul 2020Feb 2021 · 7 mos · Chennai, Tamil Nadu, India

  • I worked on Bike Fleet Management System as a Lead Developer in DbyT Dynamics (TOCAL) to manage bikes on the fleet infra in the smart cities. Deployed and Maintained Platform Applications in AWS.
Python (Programming Language)Machine Learning

Geeksforgeeks

2 roles

Campus Ambassador

Jun 2020Jul 2021 · 1 yr 1 mo

  • Established A Student Chapter in Campus to promote DSA+Development Culture among the peers.
  • Mentored and Volunteered in 2+ National Level Hackathons conducted by 28 Student Chapters of GeeksforGeeks

Technical content writer

Sep 2019Jul 2020 · 10 mos

  • Wrote Articles on C Programming Library Header Files
  • Articles List: https://auth.geeksforgeeks.org/user/avsadityavardhan/articles
C (Programming Language)PythonTechnical Writing

Ust global

Machine Learning

Jun 2020Aug 2020 · 2 mos · Trivandrum, Kerala, India

  • Worked on a Deep Learning Model that detects Brain Tumor using MRI Images
Python (Programming Language)DjangoHTMLWeb Development

Tata consultancy services

Codevita Campus Ambassador

May 2020Sep 2020 · 4 mos

  • Promoted Codevita Season 9 competition by conducting coding activities to students in Hackerrank.
Python (Programming Language)Machine Learning

Techvolt software coimbatore

Python Developer

May 2020Sep 2020 · 4 mos · Coimbatore, Tamil Nadu

  • Developed an Enterprise Resource Planning Application using Django. This application provides an interface for departments such as marketing, administration, technical, hr, operation and logistics teams to send and request approvals for resources.
Volunteering

Bolt iot

Student Partner

Jan 2020Mar 2020 · 2 mos · Kottayam, Kerala, India

  • Worked on Promoting IoT and IoT Related Projects through BOLT IoT Platform
Python (Programming Language)TensorFlowDeep LearningConvolutional Neural Networks (CNN)

Sanfoundry

Technical Content Writer

Aug 2019Nov 2019 · 3 mos

  • Reviewed 1000 MCQ on DSA. Improved DSA Content in the 1000 MCQs in the website with better SEO strategies
Volunteering

Internshala

Student Partner

May 2019Aug 2019 · 3 mos

  • Promoted the Necessity of performing Internships in an undergraduate career.
C (Programming Language)DSAData StructuresTechnical Writing

Education

Indian Institute of Information Technology Kottayam

Bachelor of Technology - BTech — Computer Science

Aug 2018Jun 2022

Stackforce found 100+ more professionals with Database Management & Infrastructure Automation

Explore similar profiles based on matching skills and experience