Ambica Khandelwal
AI/ML Researcher•Software Developer•Problem Solver
Crafting intelligent solutions at the intersection of Machine Learning, Software Engineering, and Innovation
About Me
Passionate About Innovation
I'm a Software Developer at Honeywell with a deep passion for Artificial Intelligence and Machine Learning. My journey in tech is driven by curiosity and a desire to solve complex problems through innovative solutions.
With expertise spanning from building robust microservices to developing intelligent systems using cutting-edge AI technologies, I thrive at the intersection of software engineering and machine learning. My work focuses on creating scalable, efficient solutions that make a real impact.
Beyond development, I'm an avid competitive programmer with 350+ LeetCode problems solved, constantly sharpening my problem-solving skills and algorithmic thinking.
I'm currently seeking opportunities for higher studies in AI/ML, aiming to contribute to cutting-edge research and push the boundaries of what's possible with intelligent systems.
Education
B.Tech in Computer Science
SRM Institute of Science and Technology
Chennai, India
September 2020 - June 2024
Relevant Coursework
Current Role
Software Developer 1
Honeywell
August 2024 - Present
Quick Stats
Tech Stack
Tools and technologies I work with
Programming Languages
C++
Python
Java
JavaScript
TypeScript
SQL
HTML
CSS
Frameworks & Libraries
React
Node.js
Spring Boot
NestJS
Tailwind CSS
Tools & Technologies
Git
Docker
Kubernetes
MongoDB
Firebase
Elasticsearch
Additional Experience With
Professional Experience
Building innovative solutions at scale
Software Developer 1
HONEYWELL
- ▹Developed and integrated microservices using ReactJS, NestJS and Spring Boot for cabin services from major satellite providers such as Inmarsat and Iridium to enable reliable Internet connectivity in flight
- ▹Served as the primary support focal for multiple product increments (PIs), resolving customer issues, implementing code level fixes that reduced ticket volume, and winning the Star of the Month award
- ▹Developed Help and Health Pages to streamline platform support and reliability: dynamically retrieved release documents and user guides from Azure Storage containers, automated issue submission with Jira ticket creation and Microsoft Teams notifications
- ▹Developed a virtual agent chatbot that leverages LangChain, Azure LLM, Postgres MCP server, and Qdrant DB for memory management; enabled users to interact in natural language, earning the Best Contributor award
- ▹Utilized multiple MCP tools within GitHub Copilot, including Figma MCP for converting designs to React components, Bitbucket MCP for automated PR reviews, and Jira MCP for creating tickets; delivered $8K in productivity savings, earning the Change Champion award
Software Developer Intern
HONEYWELL
- ▹Researched cluster testing using Arquillian Cube in Java Spring Boot, integrating with Minishift, CRC, and Minikube to reduce testing time
- ▹Developed a Python script to monitor RabbitMQ load, perform mathematical calculations to determine optimal consumer count, and dynamically adjust it via a Spring Boot application (WES) for automated optimization
- ▹Integrated Locust for testing Python application to ensure robust performance under varying loads
Impact & Recognition
Featured Projects
Innovation through code and creativity
Cross-Pipeline Code Impact Analyzer
View PublicationDesigned and implemented a mechanism to identify possible cross pipeline code impacts in a microservice architecture with multiple repositories. Leveraged OpenTelemetry for API call tracing, MemGraph to visualize method and pipeline relationships, Qdrant to retrieve affected code, and LLMs for impact analysis.
Significantly reduced cross-pipeline issues
Virtual Agent Chatbot with MCP
Developed a virtual agent chatbot that leverages LangChain, Azure LLM, Postgres MCP server, and Qdrant DB for memory management. Enabled users to interact in natural language, with the agent converting NLP input to queries executed via the MCP server.
Best Contributor Award
Automated Vulnerability Management
Developed a Bamboo plan to automatically extract vulnerability data from cyber tools including Twistlock, Black Duck, and Coverity. Implemented automated creation and assignment of Jira tickets with identified vulnerabilities to the cyber team.
Streamlined security issue tracking and resolution
RabbitMQ Load Optimizer
Developed a Python script to monitor RabbitMQ load, perform mathematical calculations to determine optimal consumer count, and dynamically adjust it via a Spring Boot application for automated optimization. Integrated Locust for testing under varying loads.
Automated load balancing and optimization
Help & Health Platform Pages
Developed comprehensive Help and Health Pages to streamline platform support and reliability. Dynamically retrieved release documents and user guides from Azure Storage containers, automated issue submission with Jira ticket creation and Microsoft Teams notifications.
Enhanced documentation access and user support
MCP Tools Integration
Utilized multiple MCP tools within GitHub Copilot, including Figma MCP for converting designs to React components, Bitbucket MCP for automated PR reviews and code suggestions, and Jira MCP for creating tickets based on EPIC descriptions.
$8K in productivity savings - Change Champion Award
🏆 Competitive Programming Excellence
Identified a bug in a LeetCode question due to missing test cases and was awarded 100 LeetCode coins as recognition.
Academic Achievements
Research & Publications
7th International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2025)
RVS College of Engineering and Technology, Coimbatore, India | October 6-8, 2025
Cross Pipeline Code Impact Analysis using Vector Embeddings, Telemetry
Ambica Khandelwal
This research presents an innovative approach to analyzing code impact across multiple pipelines in microservice architectures. By leveraging vector embeddings and telemetry data, the system identifies potential cross-pipeline dependencies and impacts, significantly reducing integration issues and improving system reliability.
Key Contributions:
- ▹Novel use of vector embeddings for code relationship mapping
- ▹Integration of OpenTelemetry for distributed tracing
- ▹Graph-based visualization using MemGraph
- ▹LLM-powered impact analysis and recommendations
9.22 GPA
Academic Excellence
B.Tech Computer Science
AI/ML Research
Focus Areas
IEEE Conference
Presented at ICIDCA 2025
International Recognition
Affiliated Organizations
IEEE
IEEE ComSoc
ICIDCA
Pursuing Higher Studies
My journey towards AI/ML research excellence
Statement of Purpose
My Vision for AI/ML Research
As a software developer with a passion for Artificial Intelligence and Machine Learning, I am driven by a deep curiosity to understand and advance the capabilities of intelligent systems. My journey has taken me from building production-grade microservices to exploring the frontiers of AI research, culminating in a published IEEE paper on cross-pipeline code impact analysis using vector embeddings.
My experience at Honeywell has given me unique insights into the challenges of deploying AI systems at scale. Developing a virtual agent chatbot using LangChain, Azure LLM, and Qdrant DB taught me the importance of combining theoretical knowledge with practical engineering skills. This experience solidified my desire to pursue research that bridges the gap between AI theory and real-world applications.
I am particularly fascinated by Large Language Models, Vector Embeddings, and their applications in solving complex software engineering problems. My research on cross-pipeline impact analysis demonstrated how AI can revolutionize how we understand and maintain large-scale distributed systems. I envision pursuing graduate studies where I can contribute to advancing these technologies while exploring new frontiers in AI safety, efficiency, and interpretability.
Beyond technical excellence, I bring a problem-solving mindset honed through competitive programming (350+ LeetCode problems, 150+ Codeforces problems) and a proven track record of innovation, having delivered $8K in productivity savings through AI-powered automation tools.
I am seeking opportunities to join world-class research programs where I can contribute to cutting-edge AI research, collaborate with leading experts, and help shape the future of intelligent systems that benefit humanity.
What Drives Me
Deepen AI/ML Expertise
Pursue cutting-edge research in machine learning, deep learning, and intelligent systems to push the boundaries of what AI can achieve.
Innovation & Research
Contribute to groundbreaking research in vector embeddings, LLMs, and distributed AI systems that can solve real-world challenges.
Global Impact
Collaborate with world-class researchers and create AI solutions that have positive global impact across industries and societies.
Advance Technology
Bridge the gap between theoretical AI research and practical applications, making intelligent systems more accessible and efficient.
Research Interests & Focus Areas
Open to Research Opportunities
I am actively seeking PhD/Master's programs and research opportunities in AI/ML. If you're working on exciting research or know of opportunities that align with my interests, I'd love to connect!
Let's Connect
I'm always open to discussing research opportunities, collaborations, or just having a chat!
Send a Message
Contact Information
Available for Opportunities
Open to research positions, PhD/Master's programs, and AI/ML collaborations. Let's build something amazing together!
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