Hi, my name is Koushik Balaji Venkatesan

Machine Learning Engineer at Amazon

As a Machine Learning Engineer at Amazon, I work on building and scaling AI-driven solutions that enhance efficiency and automation in large-scale systems. My role involves developing and optimizing machine learning models to support high-traffic applications, ensuring robustness, scalability, and low-latency performance. I collaborate with cross-functional teams to integrate these models into production, leveraging cutting-edge cloud and AI technologies.

At Amazon, I have worked on developing scalable ML pipelines, optimizing model performance, and deploying real-time inference solutions to handle millions of requests per day. I have contributed to automated model retraining pipelines, intelligent anomaly detection systems, and decision optimization frameworks, improving accuracy and system efficiency. My work involves leveraging AWS services such as SageMaker, Lambda, Step Functions, DynamoDB, and S3, along with deep learning frameworks like TensorFlow and PyTorch, to drive impactful AI solutions at scale.

Beyond my technical contributions, I am passionate about mentoring and guiding developers and interns, helping them navigate the complexities of machine learning engineering. Through code reviews, knowledge-sharing sessions, and career guidance, I support the growth of future engineers in the field.

Skills Learned / Used:

• Machine Learning Engineering
• Deep Learning (TensorFlow, PyTorch)
• Amazon SageMaker
• AWS Lambda
• AWS Step Functions
• DynamoDB
• S3 & Data Lake Architectures
• Real-time Inference Systems
• Model Optimization & Performance Tuning
• Scalable ML Pipelines
• Fraud Detection & Prevention Systems
• Big Data Processing (Spark, EMR)
• Feature Engineering
• Experimentation & A/B Testing
• Mentorship & Technical Leadership

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Software Engineer at Honeywell

At Honeywell, I worked across mission-critical systems, front-end development, and AI-driven solutions, contributing to multiple high-impact projects.

As part of the Flight Planning Engine (FPE) team, I developed a web-based platform that enabled commercial pilots to plan optimal flight routes by considering factors such as wind conditions, aircraft weight, and airspace restrictions. The system leveraged graph traversal algorithms for real-time route optimization and interfaced with ATC for automated route filing. I implemented this using C++, REST APIs, and React, ensuring seamless functionality and an intuitive user experience.

In the Reusable Web Components team, I contributed to creating modular, Honeywell-styled UI components, including search bars, buttons, and tables, to maintain a consistent design theme across various applications. Using PolymerJS and Node.js, I built scalable components that streamlined front-end development across teams, improving development efficiency and UI consistency.

I also worked on the Non-Technical Loss (NTL) project, which focused on electricity theft prevention using machine learning models. By analyzing usage patterns, the system could detect anomalous behavior and potential fraudulent customers. I developed and deployed these on-premise ML solutions using Python and machine learning SDKs, ensuring accurate and scalable fraud detection.
Through these projects, I gained hands-on experience in high-performance computing, AI-driven fraud detection, scalable UI development, and real-time optimization algorithms.

Skills Learned / Used:

• C, C++
• Node.js
• Graph Algorithms & Optimization
• Real-time Data Processing
• React & Frontend Development
• Reusable Web Components
• PolymerJS
• Machine Learning (Linear Regression, Predictive Modeling)
• On-Premise Model Deployment
• Python & Java for ML Applications
• High-Performance Computing
• Software Engineering Best Practices

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Memberships at Prestigious Institutions

As a recognized expert in AI, machine learning, and data science, I am honored to be affiliated with prestigious organizations:

• Fellow of the Soft Computing Research Society (SCRS) - Certificate - Profile Link - SCRS Official Website
• SAS Eminent Fellow - Certificate - Proof Of Membership - Profile Link - SAS Official Website
• Fellow of the Royal Statistical Society (RSS) - Certificate - Royal Statistical Society
• Senior Member of IEEE - Certificate - IEEE Official Website
• Member of Sigma Xi, The Scientific Research Honor Society - Certificate - Proof Of Membership - Sigma Xi Official Website

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Technical Program Committee & Peer Review

As a dedicated contributor to the research community, I serve on Technical Program Committees and as a peer reviewer for various IEEE conferences and journals, having reviewed hundreds of research papers.

• ICIAI (IEEE International Conference on Innovation in Artificial Intelligence) - Conference Link
• AIRC (IEEE International Conference on Artificial Intelligence, Robotics, and Control) - Certificate - Conference Link
• ICAIE (IEEE International Conference on Artificial Intelligence and Education) - Conference Link
• AIR (Conference on AI and Robotics) - Conference Link
• ITAI (International Conference on Information Technology and Artificial Intelligence) - Certificate - Conference Link
• CML (Congress on Computing and Machine Learning) - Certificate - Conference Link
• CE2CT (IEEE International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies) - Certificate - Conference Link
• CSITEC (IEEE International Conference on Computer Science, Information Technology) - Conference Link
• INC4 (IEEE International Conference on Contemporary Computing and Communications) - Certificate - Conference Link
• INCIP (IEEE International Conference on Next Generation Communication & Information Processing) - Certificate - Conference Link
• ICCCT (International Conference on Cloud Computing and Technology) - Certificate - Conference Link
• WCSC (World Congress on Smart Computing) - Certificate - Conference Link
• PCCDA (International Conference on Paradigms of Communication, Computing and Data Analytics) - Certificate - Conference Link
• CRM (Congress on Control, Robotics, and Mechatronics) - Certificate - Conference Link
• PEIS (International Conference on Power Engineering and Intelligent Systems) - Certificate - Conference Link
• BIDA (International Conference on Business Intelligence and Data Analytics) - Certificate - Conference Link

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Research Papers

My research contributions have been published in leading journals, showcasing advancements in machine learning, artificial intelligence, and software engineering.

• IJCA (International Journal of Computer Applications) - Link to Publication - IJCA Official Website
• IJCTT (International Journal of Computer Trends and Technology) - Link to Publication - IJCTT Official Website

My research has been featured in IEEE conferences, contributing to advancements in artificial intelligence, machine learning, and emerging technologies.

• ICSADL (IEEE International Conference on Sentiment Analysis and Deep Learning) "Scalable Machine Learning Models Achieving Effeciency iin Fraud Detection" - Certificate - ICSADL Official Website
• NGISE (IEEE International Conference on Next Generation Information System Engineering) "Designing Scalable Real-Time Web Applications for Seamless User Experience" - NGISE Official Website
• ICOSSE (IEEE International Congress on Sustainability Science & Engineering) "Optimizing CDN for superior user experience in modern environments" - ICOSSE Official Website

Google Scholar

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Research Articles

I actively share insights on machine learning, AI, and software engineering through online articles, contributing to industry knowledge and innovation.

• Hackernoon - Link to Article
• Dzone - Link to Article
• Dataversity - Link to Article
• Dev.to - Link to Article
• Medium - Link to Article

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Judging at Awards and Hackathons

I have served as a judge for prestigious awards, evaluating cutting-edge innovations and recognizing excellence in technology and AI.

• Edison Awards - Link to Certificate - Edison Awards Official Website
• Globee AI Awards - Link to Certificates - Artificial Intelligence - Cybersecurity - Customer Excellence - Official Website
• Business Intelligence Group Awards - Link to Certificate - BIG Awards Official Website

I have also participated as a judge for hackathons, mentoring teams and evaluating innovative AI and software solutions.

• CodePI Hackathon - Link to Certificate - CodePI Hackathon on Devpost
• Hackonomics Hackathon - Link to Certificate - Hackonomics Hackathon on Devpost
• MillCity Hackathon - MillCity Hackathon on Devpost

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Mentoring and Volunteering

I am passionate about mentoring and volunteering, guiding aspiring technologists and students through various platforms.

• ADPList Mentor - ADPList Mentor Profile (Providing mentorship in AI, ML, and software engineering)
• NCWIT Mentor - Link to Certificate - National Center for Women & Information Technology (Supporting diversity and inclusion in tech)
• Mentoring at Workplace - Actively mentoring junior engineers and interns, helping them with technical skills, career growth, and best engineering practices.

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