Headline

Applied AI Engineering @Barclays | Ex Deutsche Bank, eQ | IIM | IIT

About

I thrive at the intersection of complex technology and human collaboration. With a foundation in Computer Science from PICT, a strategic lens from IIM Indore, and specialized Data Science expertise from IIT Indore, I have spent my career transforming massive, unstructured data into high-fidelity intelligence that drives business ROI. I am currently moving beyond the "build" phase and into the "orchestrate" phase—focusing on how to maximize organizational output by aligning human talent with the next frontier of AI: Agentic Workflows. What I bring to the table: • AI Strategy & Orchestration: I lead the "Agentic Shift" at eQ Technologic, architecting multi-agent frameworks using LangGraph to build stateful, self-correcting systems that handle complex reasoning tasks. • Strategic Leadership (The AVP Years): During my 5-year tenure at Deutsche Bank, rising to Assistant Vice President, I specialized in building the "backbone" of financial data for ESG and compliance teams. I led initiatives to ensure billions of data points remained accurate, scalable, and audit-ready. • High-Scale Advisory: I don't just engineer; I advise. I have a proven track record of collaborating with cross-functional teams to align cloud data strategy with business goals, improving team productivity by 20%. • Expert Foundations: As a Google Professional Cloud Architect and ML Engineer, I design secure, high-availability data infrastructure using GCP, Terraform, and Airflow. Why work with me? I am at my best when I am vocal, visiting clients, and solving "unsolved" problems on a global scale. I specialize in translating high-level business needs into technical visions that are scalable, reliable, and future-proof. Core Areas of Expertise: AI Orchestration (LangGraph, Agentic Frameworks) | Cloud Architecture (GCP, Azure) | Data Governance & ESG | IT Strategy & Business ROI | Mentorship & Technical Consulting.

Location

Pune District

AI stack

antigravity

codex

opencode

Work experience

Assistant Vice President at Barclays, May 2026 - Present · 4 mos, Pune District, Maharashtra, India

Senior Software Engineer at eQ Technologic, Nov 2025 - May 2026 · 7 mos, Pune District, Maharashtra, India, Architecting Enterprise-Grade Multimodal AI Agents Leading technical strategy and solution consulting within the Augmented Data Analytics team to deliver autonomous, state-aware agentic workflows. - Solution Consulting & Strategy: Act as the primary technical consultant for internal stakeholders, translating complex analytical requirements into scalable AI architectures and automated reporting frameworks. - Agentic Design: Leveraged LangGraph to build cyclic agents capable of complex reasoning and multi-step planning, significantly reducing manual intervention in financial analytics. - Multimodal Pipeline Engineering: Engineered end-to-end systems on Azure AI that synthesize unstructured and structured data (text, image, and tables) into holistic strategic insights. - Optimization & Compliance: Lead the prompt engineering and fine-tuning of Claude 3.5 and GPT-4 models, ensuring high-performance execution while maintaining strict data governance.

Assistant Vice President at Deutsche Bank, Jun 2025 - Oct 2025 · 5 mos, Pune District, Maharashtra, India, Strategic AI Orchestration: Spearheaded the integration of Vertex AI-driven agents to automate production support and Root Cause Analysis (RCA), significantly reducing manual intervention for global data platforms. Agentic Governance & IAM: Architected a "First-Class Citizen" framework for AI Agents, designing custom Identity & Access Management (IAM) protocols to ensure least-privilege access and full auditability within a regulated banking environment. Secure Data Sharing: Engineered a secure data-sharing ecosystem featuring Vertex AI-integrated Auto-Redaction, leveraging Cloud DLP to mask PII/PHI in real-time before LLM consumption. High-Scale Data Engineering: Directed the delivery of cloud-native data pipelines handling >2TB/day using Apache Beam, Dataflow, and Kafka, ensuring 99.9% uptime for business-critical sustainability analytics. Audit-Ready Compliance: Advised internal ESG and compliance teams on designing transparent, observable data platforms on GCP, meeting rigorous global regulatory and reporting standards. Infrastructure as Code (IaC): Led the deployment of high-availability data infrastructure using Terraform and Airflow (Cloud Composer), reducing environment provisioning cycles and increasing system reliability. Cross-Regional Scalability: Collaborated with data stewards and platform teams across multiple regions to ensure data integrity and reporting consistency for large-scale ESG disclosures. Technical Leadership: Bridged the gap between complex AI/Cloud architecture and executive business goals, leading a high-performing team to accelerate POC evaluation cycles and production deployments.

Associate at Deutsche Bank, Mar 2023 - Jun 2025 · 2 yrs 4 mos, Pune District, Maharashtra, India, - Data Platform Development: Contribute to the design, development, and maintenance of the core data platform (Data Factory), enabling scalable and efficient data processing pipelines. - Data Architecture: Assist in creating and optimizing data architectures to handle high data volumes with low latency, ensuring reliability and data integrity. - Automation & Optimization: Automate data workflows and optimize processes to improve efficiency and reduce manual interventions, enhancing system performance. - Data Governance: Implement data quality controls, metadata management, and security practices to ensure compliance with governance standards. - Collaboration Across Teams: Work closely with cross-functional teams to ensure the platform meets stakeholder needs and aligns with business objectives. - Cloud & Big Data Technologies: Leverage cloud technologies (AWS, GCP, Azure) and big data tools (Hadoop, Spark, Kafka) to scale solutions for complex analytical needs. - Monitoring & Troubleshooting: Oversee system monitoring, troubleshooting, and performance tuning to ensure uptime, reliability, and responsiveness. - Data Pipeline Maintenance: Maintain and enhance data pipelines to ensure smooth ETL processes that support business reporting and analytics. - Mentoring and Knowledge Sharing: Mentor junior team members and promote knowledge sharing to foster continuous improvement in data engineering practices.

Associate Engineer at Deutsche Bank, Sep 2021 - Mar 2023 · 1 yr 7 mos, Cloud & Data Engineering - Platform Engineering and Automation - Conducted a proof of concept for Google Cloud Platform products like Dataproc in the bank thus evaluating the feasibility of the product and providing valuable feedback to TDI sibling teams. - Batch and Streaming ETL pipelines (Apache Beam) - Oracle Exacc Connectives - FW/VPC Configurations for GCP - Infra Setup adhering to governing policies. - TDD - Terraform Modules - Mentoring young minds

Education

Master's degree, Business Administration and Management, General, Indian Institute of Management, Indore

Master's degree, Data science, Indian Institute of Technology, Indore

Public links

medium: https://medium.com/@AgenticOS