Punya Venkatesh

AI Researcher

Bengaluru, Karnataka, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and enterprise security solutions.
Proficient in designing multi-agent AI architectures.
Strong foundation in data protection frameworks.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in Generative AI and enterprise security.

Contact

Skills

Core Skills

Generative AiEnterprise SecurityData ScienceAi AutomationMachine Learning

Other Skills

multi-agent architecturesLLM-powered applicationsworkflow optimizationIBM Guardium Data Protectioncrypto-agilitycryptographic discoveryenterprise security remediationAgentic AILarge Language Models (LLM)data analysisfeature engineeringmodel evaluationPython (Programming Language)Reinforcement Learningdata preprocessing

About

As an AI Engineer with 1 year of hands-on experience in Generative AI and enterprise security-driven environments, I design and implement scalable AI solutions that bridge advanced machine learning with real-world operational systems. I focus on building production-ready LLM-powered workflows, multi-agent architectures, and intelligent automation frameworks that enhance structured decision-making and enterprise efficiency. I work across domains including IBM Guardium Data Protection, quantum-safe cryptography, crypto-agility, cryptographic discovery, and enterprise security remediation use cases. Through exposure to IBM Guardium Quantum Safe and cryptography management solutions, I have developed an understanding of data protection frameworks, compliance-aligned architectures, and secure system design within large-scale enterprise environments. I am particularly interested in developing secure, scalable AI systems that combine intelligent automation with strong security foundations, translating complex technical challenges into reliable, high-impact solutions.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

3k technologies

2 roles

Associate AI Engineer

Nov 2025 – Present · 6 mos · Bengaluru, Karnataka, India · Hybrid

Working on enterprise Generative AI and security-driven automation systems. Focused on designing multi-agent AI architectures and LLM-powered applications for workflow optimization, summarization, Q&A reasoning, and structured decision-making. Contributing to IBM Guardium Data Protection (GDP), Guardium Cryptography Manager (GCM), and Quantum Safe solutions (QSE, QSR), gaining exposure to crypto-agility, cryptographic discovery, and enterprise security remediation use cases.

Generative AImulti-agent architecturesLLM-powered applicationsworkflow optimizationIBM Guardium Data Protectioncrypto-agility+3

Data Science Project Trainee

May 2025 – Oct 2025 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Worked on IBM Cloud-based enterprise initiatives including COBOL-to-Java code conversion workflows and AI-driven automation prototypes. Supported development of multi-agent systems and applied data analysis, feature engineering, and model evaluation techniques in real-world project environments.

Agentic AILarge Language Models (LLM)data analysisfeature engineeringmodel evaluationData Science+1

Nerastech (neweras enercon technologies pvt. ltd)

Machine Learning Intern

Feb 2025 – Apr 2025 · 2 mos · Bengaluru · On-site

Worked on real-world machine learning problems involving data preprocessing, feature engineering, and model development. Built and optimized predictive models for tasks such as anomaly detection and data-driven analysis. Gained hands-on experience with key ML algorithms and improved model performance under resource-constrained environments, particularly for edge/IoT-based applications.

Python (Programming Language)Reinforcement Learningdata preprocessingfeature engineeringmodel developmentMachine Learning+1