Ayananshu Mohanty

Product Engineer

Goa, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a Java debugging agent for production environments
Created an AI chatbot framework using Python
Strong academic record with co-curricular achievements

Stackforce AI infers this person is a Software Development and AI enthusiast with hands-on experience in building scalable applications.

Contact

Skills

Core Skills

JavaSpring BootPythonArtificial Intelligence

Other Skills

JUnitGradleGitJava Debug InterfaceVideo EditingAdobe Premiere ProAdobe LightroomPhotographyArtPaintingDrawingPython (Programming Language)Artificial Intelligence (AI)Machine LearningREST APIs

About

A fourth-year Computer Science student at one of the foremost engineering colleges in India, skilled in multiple languages, backed by a strong academic record and other co-curricular achievements. Loves tinkering with computers and has been acknowledged by AMD on social media.

Experience

1 yr 9 mos

Total Experience

10 mos

Average Tenure

Current Experience

Eightfold ai

Engineering Intern

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Sprinklr

Product Engineer Intern

May 2025 – Jul 2025 · 2 mos · Gurugram, Haryana, India · On-site

Designed and implemented a lightweight, application-agnostic Java debugging agent using the Java Platform Debugger Architecture (JPDA) to capture variable states at runtime without requiring code changes or redeployment.
Leveraged Java Debug Interface (JDI) to programmatically attach to live JVMs, dynamically set breakpoints, and inspect complex variable structures.
Enabled non-intrusive debugging in production environments with minimal performance overhead, eliminating the manual cycle of adding logs, rebuilding, and redeploying for debugging production issues, enabling safer root cause analysis and reducing mean time to resolution (MTTR).
Created comprehensive unit and end-to-end test suites using JUnit, validating core debugging flows, variable resolution logic, and output accuracy under various runtime conditions.
Built a Spring Boot-based CRUD application to simulate real-world debugging targets and benchmark JRDA's performance and memory footprint under load.

JavaSpring BootJUnitGradleGit

Birla institute of technology and science, pilani

Teaching Assistant

Jan 2025 – May 2025 · 4 mos · Goa, India · On-site

Teaching Assistant of Network Programming Course at BITS Pilani, Goa Campus

Vidcentum technologies

Intern

May 2024 – Jul 2024 · 2 mos · Hyderabad, Telangana, India · Remote

Created a cutting-edge, scalable framework for developing and deploying on-premises Retrieval-Augmented Generation (RAG) AI chatbots.
Developed the module in Python, utilizing its robust plugin ecosystem for optimal integration and flexibility.
Applied a suite of software tools, including Meilisearch, Sanic, Steamlit, YOLOv8, OpenStudio and Postman.
Employed efficient communication protocols, including XMPP and REST APIs, to enhance real-time data interchange and system integration.
Implemented multithreading and asynchronous programming to enhance module throughput and improve overall system responsiveness.

Python (Programming Language)Artificial Intelligence (AI)Machine LearningREST APIsXMPPPython+1