Keshav Arora

Product Engineer

Chandigarh, Chandigarh, India3 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in AI and Cybersecurity with diverse project experience.
Developed innovative frameworks for AI applications.
Proven track record in automating testing processes.

Stackforce AI infers this person is a skilled professional in AI and Cybersecurity with a focus on innovative solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)CybersecurityMachine LearningCyber SecurityRetrieval-augmented Generation (rag)Natural Language Processing (nlp)Deep LearningJavaReinforcement LearningDatabase Management System (dbms)

Other Skills

C++CPComputer VisionCryptographyKali LinuxLarge Language Models (LLM)Microsoft Power BIMicrosoft SQL ServerNeural NetworksPrompt EngineeringPyTorchPython (Programming Language)SQLSeleniumUnmanned Aerial Vehicle (UAV)

About

"Passionate about Deep Learning and Ethical Hacking. Dedicated to leveraging AI for positive impact and securing digital landscapes. Considers coffee breaks as a harbor for creativity and innovation. Let's connect and innovate together!"

Experience

Pec acm css

4 roles

Cyber Lead

Promoted

Sep 2025 – Present · 6 mos

Executive Body

Promoted

Aug 2024 – Aug 2025 · 1 yr

Artificial Intelligence (AI)Cybersecurity

Implementation Body

Promoted

Aug 2023 – Jul 2024 · 11 mos

Machine Learning, Cyber Security, CP

Machine LearningCyber SecurityCP

Member

Nov 2022 – Aug 2023 · 9 mos

Web ExploitationKali LinuxCryptographyCybersecurity

Summer of bitcoin

Open Source Developer

May 2025 – Aug 2025 · 3 mos · Remote

Worked extensively on Graph RAG based Agentic framework for BTC devs.
Utilised several MCPs in the framework and added KG support for python and rust with tree sitter.
Also developed a multi agent orchestrator that can generate code, fetch code(from KG MCP), run in sandbox environment and debug too using web search agent with memory support and slate like A2A replica for agents to communicate.
My messy research work is available at:
https://github.com/braidpool/GraphRAG/tree/graph-rag-agents
https://github.com/braidpool/multiagent

Large Language Models (LLM)Retrieval-Augmented Generation (RAG)

Google summer of code

Open Source Developer

May 2025 – Aug 2025 · 3 mos

Worked on MCP for Payment Hub which facilitates financial self transactions.
Report of my work is available at below gist:
https://gist.github.com/CoderOMaster/35204a5e559440ca19ed2f4ef6eecca9

Fast code ai

Machine Learning Intern

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

Worked on diverse client-facing AI and NLP projects tailored to real-world use cases.
Fine-tuned state-of-the-art language models such as BERT and RoBERTa for domain-specific NLP tasks in a high-impact project aimed at improving natural language understanding.
Developed and deployed AI agents from scratch as part of an Agentic product catalog project, leveraging advanced technologies like Gemini Grounding Search and multi-modal integration.
Fine-tuned Vision-Language Models (VLMs) including Qwen 2.5 7B and Pali Gemma 2 for a zero-shot object detection system, enabling accurate performance without domain-specific retraining. Also tried with MLLMs for object detection as well.

Python (Programming Language)Natural Language Processing (NLP)Retrieval-Augmented Generation (RAG)SeleniumPrompt EngineeringPyTorch

Superagi

Software Engineer in Test

Aug 2024 – Nov 2024 · 3 mos · Palo Alto, California, United States · Remote

Worked briefly on understanding the AI agents for supersales.
Developed and automated numerous test cases for critical application functions using Java and Selenium, significantly enhancing testing efficiency and reliability.
Acquired hands-on experience with Jira, utilizing it to manage project tasks and bugs effectively, ensuring streamlined workflow and communication across teams.
Leveraged Jenkins for continuous integration, aiding in the quicker deployment of code changes by automating the build and testing processes.
Authored detailed test cases with Cucumber, improving documentation and facilitating behavior-driven development (BDD), which enhanced collaboration between technical and non-technical teams.

JavaSelenium

Amazon

Amazon Ml Summer School

Jul 2024 – Jul 2024 · 0 mo

Amazon ML Summer School aims at providing students the opportunity to gain Machine Learning (ML) skills and which is the first step in becoming ready to build a career in ML. This program is an intensive course on key ML topics and is a great opportunity to learn from and interact with Scientists at Amazon who have immense knowledge in their ML domain.
Selected as top 3000 out of 80,000 candidates.

Reinforcement LearningUnmanned Aerial Vehicle (UAV)