AJAY SINGH CHAUHAN
@ajaysinghchauhan
AI Engineer specializing in agentic AI and intelligent automation, building multi-agent systems with HITL and GenAI.
What I'm looking for
I’m an AI Engineer with 12+ years of experience, specialized in building Multi-Agent Systems (MAS) using Google ADK and Vertex AI. I transition legacy RPA into autonomous agentic workflows using Human-in-the-Loop (HITL) protocols for high-stakes decisions.
In my recent work, I designed HITL workflows using Interrupt & Resume patterns and used Chain-of-Thought (CoT) and ReAct to improve agent decision-making accuracy by 97%. I also established AI Evaluation (Eval) frameworks with Precision, Recall, and F1 scores to monitor agent trajectories and reduce hallucinations.
Earlier, I automated finance and validation workflows, reducing turnaround time by 60%, saving 8 FTEs annually, and cutting financial transaction errors by 35%. I pair GenAI prompt engineering with full-cycle engineering—.NET applications, RESTful APIs, AWS hosted services, and CI/CD—to ship scalable, secure, high-performance agentic solutions.
Experience
Work history, roles, and key accomplishments
Lead Technology Analyst
DIENSTEN TECH LTD.
Jan 2021 - Dec 2025 (4 years 11 months)
Designed Human-in-the-Loop (HITL) workflows for high-stakes financial approvals, ensuring 100% compliance. Improved agent decision accuracy by 97% using CoT and ReAct, built evaluation frameworks to reduce hallucinations, and delivered a Multi-Agent KPI reporting system that reduced manual effort by 70%.
Automated outward remittance and branch transfer workflows, reducing turnaround time by 60%. Built and maintained RPA solutions integrating Tungsten Automation and Kofax Total Agility, saving 8 FTEs annually and reducing transaction errors by 35%.
Senior Software Engineer
InfoZech Software Pvt Ltd
Nov 2015 - Jan 2017 (1 year 2 months)
Streamlined telecom billing automation for iBill, reducing bill approval cycles and processing time by 30%. Built high-performance Oracle data ingestion using SQL Loader and external tables, and implemented predictive revenue modeling logic for 2–5 year forecasting.
Software Engineer
NIIT Technologies Ltd (Coforge)
Jun 2013 - Oct 2015 (2 years 4 months)
Developed and optimized PL/SQL stored procedures, functions, and packages to automate overtime, taxi reimbursements, and leave encashments. Improved system performance by 20% through SQL/query and trigger optimization and built automated reporting for operational KPI tracking.
Education
Degrees, certifications, and relevant coursework
GGSIPU – RDIAS
Master of Computer Applications, Computer Applications
Grade: 80.2%
Earned an MCA from GGSIPU (RDIAS), achieving 80.2%.
University of Delhi
Bachelor of Science, Applied Physical Sciences (Computer Science)
Grade: 65.5%
Earned a B.Sc. in Applied Physical Sciences (Computer Science), scoring 65.5%.
St. Xavier’s School
CBSE Class XII, Higher Secondary Education
Grade: 73%
Completed CBSE Class XII at St. Xavier’s School, scoring 73%.
St. Xavier’s School
CBSE Class X, Secondary Education
Grade: 66.4%
Completed CBSE Class X at St. Xavier’s School, scoring 66.4%.
Availability
Location
Authorized to work in
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Skills
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