Kiran Kumar Kanathala - Applied NLP: Word-Level Encoding for Smarter Event Predictions

Q: Where is Kiran Kumar based?

Kiran Kumar is based in Siegen, Germany .

Q: What languages does Kiran Kumar speak?

Kiran Kumar speaks the following languages: Hindi (Native), Telugu (Native), English (Advanced), German (Intermediate) .

Q: How many years of experience does Kiran Kumar have?

Kiran Kumar has at least 2 years of experience. During this time, Kiran Kumar has worked in at least 4 different roles and for 3 different companies . The average length of individual experience is 1 year and 6 months . Note that Kiran Kumar may not have shared all experience and actually has more experience.

Q: What is Kiran Kumar's latest experience?

Kiran Kumar's most recent position is Applied NLP: Word-Level Encoding for Smarter Event Predictions at University of Siegen .

Q: What companies has Kiran Kumar worked for in recent years?

In recent years, Kiran Kumar has worked for University of Siegen , IBM & Coursera , and ABB AG Research Center .

Q: Which industries is Kiran Kumar most experienced in?

Kiran Kumar is most experienced in industries like Information Technology (IT) , Education , and Energy . Kiran Kumar also has some experience in Manufacturing .

Q: Which business areas is Kiran Kumar most experienced in?

Kiran Kumar is most experienced in business areas like Information Technology (IT) , Research and Development (R&D) , and Quality Assurance (QA) . Kiran Kumar also has some experience in Product Development .

Q: What is Kiran Kumar's education?

Kiran Kumar holds a Master in Mechatronics with Specialization in AI from University of Siegen and a Bachelor in Mechanical Engineering from MLR Institute of Technology, JNTUH .

Q: Does Kiran Kumar have any certificates?

Kiran Kumar has 7 certificates . Among them, these include: The Systems Modeling Language (SysML®) v1.6 , AWS Cloud Technical Essentials , and Generative AI Engineering with LLMs Specialization .

Recommended expert

Siegen, Germany

Experience

Nov 2024 - May 2025

7 months

Germany

Applied NLP: Word-Level Encoding for Smarter Event Predictions

University of Siegen

Engineered 12+ Seq2Seq models (LSTMs/GRUs) to train an AI model, supporting AI Agent Evaluation Analyst and online projects in complex systems.
Conducted 15+ experiments to improve forecasting accuracy by 28%, applying analytical thinking and testing models for QA and edge case coverage.
Researched 20+ papers as a consultant to guide Large Language Model design, ensuring logical implications and domain of expertise alignment.
Saved 40% compute time via model compression with reusable PyTorch framework, aiding developers and writers to suggest refinements and improve policies.

May 2024 - Nov 2024

7 months

Generative AI Applications with RAG and LangChain

IBM & Coursera

Built a Large Language Model Q&A bot using LangChain, enhancing retrieval efficiency by 35% for online projects in my domain of expertise.
Applied prompt engineering to train an AI model, improving response accuracy by 25%, reducing irrelevant outputs by 30%, supporting AI Agent Evaluation Analyst tasks.

Nov 2023 - Apr 2024

6 months

Germany

AI Engineer (Master Thesis)

ABB AG Research Center

Designed and deployed 32+ self-supervised models to train an AI model using Python and TensorFlow for AI Agent Evaluation Analyst tasks in complex systems.
Built and managed Azure ML data pipelines supporting 3 teams, enabling QA and developers to review evaluation tasks and improve edge case coverage.
Developed pretext tasks for 100K+ samples, annotating cause-effect relationships to enhance Large Language Model accuracy and reduce manual labeling by 70%.
Delivered strong business outcomes by applying analytical thinking and logical implications to define clear expected behaviors and gold standards in diagnostics.

Apr 2023 - Oct 2023

7 months

Germany

Full Stack Developer

ABB AG Research Center

Built full-stack tools using Python, JavaScript, React to train an AI model, integrating 10+ datasets/APIs for AI Agent Evaluation Analyst tasks.
Collaborated in 10-person team as consultant, improving workflows, reducing errors by 20%, ensuring QA and edge case coverage in complex systems.
Delivered 10+ online projects under deadlines, reviewing evaluation tasks, identifying inconsistencies, and supporting 4+ monthly stakeholder decisions in domain of expertise.
Developed web app integrating 4+ renewables, annotating cause-effect relationships, enhancing client energy use by 35%, and defining clear expected behaviors for policies.

AI-Powered Resume and Cover Letter Tailoring Website

Developed a web app with Large Language Models, LangChain, RAG, Pinecone for AI Agent Evaluation Analyst tasks, improving online projects in the domain of expertise.
Built and deployed AI model system with cloud pipelines, enhancing QA, annotating cause-effect relationships, and supporting full-time opportunities.

Personal AI Chatbot portfolio

Built an interactive chatbot portfolio using Large Language Models, React, Flask, Tailwind, RAG, chromaDB, enhancing AI Agent Evaluation Analyst capabilities and recruiter engagement by 60%.
Integrated Git, Docker, CI/CD pipelines for QA, enabling training an AI model, improving edge case coverage and cutting recruiter review time by 40%.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (1 year), Education (0.5 years), Manufacturing (0.5 years), and Energy (0.5 years).

Information Technology

Education

Manufacturing

Energy

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (2 years), Research and Development (1.5 years), Quality Assurance (0.5 years), and Product Development (0.5 years).

Information Technology

Research and Development

Quality Assurance

Product Development

Summary

AI Agent Evaluation Analyst with expertise in training Large Language Models (LLMs), reviewing evaluation tasks for logic, completeness, and realism, identifying inconsistencies, defining gold standards, annotating reasoning paths, and applying analytical thinking to complex systems and policies.

Analytical Thinking: Engineered 12+ Seq2Seq models, influencing 3+ teams and 2 theses, boosting forecasting accuracy by 28%.
Attention to Detail: Reviewed evaluation tasks and scenarios for LLM logic, realism, and completeness, identifying inconsistencies and missing assumptions.
Familiarity with Structured Data Formats: Built and deployed AI resume systems with cloud pipelines and prompt design, cutting tailoring time by 50%.

Skills

Programming: Python, C/c++.
Ai & Machine Learning: Pytorch, Tensorflow, Llms, Prompt Engineering, Ai-generated Content Evaluation.
Full Stack Development: Html, Css, Javascript, React.js.
Cloud & Infrastructure: Aws, Gcp, Azure, Docker, Kubernetes.
Modelling & Simulation: Matlab/simulink, Ansys, Autocad, Catia, Solidworks, Scenario Design, Policy Evaluation, Logic Puzzles.
Large Language Model, Llm, Ai Model Training, Evaluation Tasks, Logic Puzzles, Structured Scenario Design, Json, Yaml, Prompt Engineering, Ai-generated Content, Qa, Test-case Thinking, Analytical Thinking, Policy Evaluation

Languages

Hindi

Native

Telugu

Native

English

Advanced

German

Intermediate

Education

MLR Institute of Technology, JNTUH

Bachelor of Technology, Mechanical Engineering · Mechanical Engineering · Hyderabad, India

University of Siegen

Master of Science, Mechatronics with Specialization in AI · Mechatronics with Specialization in AI · Siegen, Germany

Certifications & licenses

The Systems Modeling Language (SysML®) v1.6

Udemy

AWS Cloud Technical Essentials

AWS & Coursera

Generative AI Engineering with LLMs Specialization

IBM & Coursera

Building Deep Learning Models with TensorFlow

IBM & Coursera

Deep Neural Networks with PyTorch

IBM & Coursera

Introduction to Machine Learning by Andrew Ng

Stanford Online & Coursera

IBM Certified Generative AI Specialist

Profile

Created

November 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Kiran Kumar based?

Kiran Kumar is based in Siegen, Germany.

What languages does Kiran Kumar speak?

Kiran Kumar speaks the following languages: Hindi (Native), Telugu (Native), English (Advanced), German (Intermediate).

How many years of experience does Kiran Kumar have?

Kiran Kumar has at least 2 years of experience. During this time, Kiran Kumar has worked in at least 4 different roles and for 3 different companies. The average length of individual experience is 1 year and 6 months. Note that Kiran Kumar may not have shared all experience and actually has more experience.

What roles would Kiran Kumar be best suited for?

Based on recent experience, Kiran Kumar would be well-suited for roles such as: Applied NLP: Word-Level Encoding for Smarter Event Predictions, Generative AI Applications with RAG and LangChain, AI Engineer (Master Thesis).

What is Kiran Kumar's latest experience?

Kiran Kumar's most recent position is Applied NLP: Word-Level Encoding for Smarter Event Predictions at University of Siegen.

What companies has Kiran Kumar worked for in recent years?

In recent years, Kiran Kumar has worked for University of Siegen, IBM & Coursera, and ABB AG Research Center.

Which industries is Kiran Kumar most experienced in?

Kiran Kumar is most experienced in industries like Information Technology (IT), Education, and Energy. Kiran Kumar also has some experience in Manufacturing.

Which business areas is Kiran Kumar most experienced in?

Kiran Kumar is most experienced in business areas like Information Technology (IT), Research and Development (R&D), and Quality Assurance (QA). Kiran Kumar also has some experience in Product Development.

What is Kiran Kumar's education?

Kiran Kumar holds a Master in Mechatronics with Specialization in AI from University of Siegen and a Bachelor in Mechanical Engineering from MLR Institute of Technology, JNTUH.

Does Kiran Kumar have any certificates?

Kiran Kumar has 7 certificates. Among them, these include: The Systems Modeling Language (SysML®) v1.6, AWS Cloud Technical Essentials, and Generative AI Engineering with LLMs Specialization.

What is the availability of Kiran Kumar?

Kiran Kumar is immediately available full-time for suitable projects.

What is the rate of Kiran Kumar?

Kiran Kumar's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.