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Venkatesh A.

Venkatesh A.

Lead Software Engineer (Generative AI integration work within PEGA workflow platform)

India flagHyderabad, India

Key Skills

Software

No software listed

Top Subject Matter

Enterprise workflow automation with LLM/RAG/agentic AI integration
PEGA workflow automation and integration (AI feature context)
Enterprise customer service automation with AI-augmented features

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Lead Software Engineer (Generative AI integration work within PEGA workflow platform). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and GitHub Actions. Education includes Bachelor of Technology, JNTU Kakinada (2013) and Certified Systems Professional, Pega Systems. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

Big 4 US Bank | Lead Software Engineer (Generative AI integration work within PEGA workflow platform)

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Contributed to Generative AI initiatives within an enterprise PEGA workflow platform by developing and integrating components that support intelligent automation. Worked on LLM-based approaches including RAG and agentic AI concepts to enhance workflow intelligence and decisioning. Collaborated with engineering teams on design, reviews, and implementation of AI capabilities in production workflows. • Implemented/integrated generative AI capabilities into PEGA-driven case management workflows • Participated in architectural discussions and code/design reviews for AI-enhanced automation • Supported LLM/RAG/agentic AI integration work to improve operational transitions • Delivered integration-oriented software changes for AI-enabled enterprise workflows

2021 - Present

Personal AI Project | Stratify (AI-driven trading platform using Claude model)

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Built and automated an AI-driven stock analysis and trading platform using a Claude model to generate trading signals. The project includes end-to-end automated workflows that run analysis and execute trades based on model outputs. This represents an applied AI training/inference workflow with prompt/model usage and automated execution. • Developed an AI pipeline using the Claude model for market signal generation • Implemented logic to prioritize recent market data and forward-looking indicators • Automated stock analysis and trade execution via GitHub Actions workflows • Tuned system behavior to improve prediction accuracy while reducing overfitting risk

Not specified

Pega Systems | Senior Solutions Engineer (AI Augmented Agent and Smart Email)

Worked in PEGA Customer Service and Sales Automation teams developing product features described as AI Augmented Agent and Smart Email. Implemented or supported AI-enabled functionality within enterprise customer service workflows, aligning with applied AI engineering rather than manual annotation. The work involved building and integrating AI-oriented capabilities into existing product modules. • Developed AI Augmented Agent capabilities within PEGA Customer Service • Built Smart Email functionality as part of sales automation • Contributed to AI-enabled customer interaction features in production product areas • Supported engineering implementation of intelligent automation features

Not specified

Areteans Technology Solutions | Lead Consultant (Unilever/Pharos PEGA workflow work with enterprise automation focus)

Developed PEGA case management workflows and enterprise integrations for a materials management application, including implementation efforts that required AI feature enablement in the context of enterprise automation. The resume indicates prior work on AI-augmented features, suggesting participation in building AI-enabled application capabilities rather than manual data labeling. This experience is included only as AI implementation work described at the enterprise level. • Built PEGA case management workflows for enterprise operations • Implemented enterprise integrations between systems for automation • Supported development activities related to intelligent workflow enablement • Delivered PEGA application enhancements for business processes

Not specified

Education

J

JNTU Kakinada

Bachelor of Technology, Electronics and Communication Engineering

Bachelor of Technology
2013 - 2013
M

Microsoft

Azure Fundamentals Certification, Cloud Computing

Azure Fundamentals Certification
Not specified

Work History

W

Wells Fargo

Lead Software Engineer

Hyderabad
2021 - Present
A

Areteans Technology Solutions

Lead Consultant

Hyderabad
2020 - 2021