Headline

Gen AI Full Stack Engineer @ Accenture | SWE • AI/ML • Backend | Databricks GenAI Certified | Building multi-agent LLM systems, GenAI copilots & full-stack apps | Python, Java/Spring Boot, AWS, Databricks

About

I'm a Data Engineer at Accenture (Databricks full-stack track) with a background that spans backend engineering, cloud data platforms, and applied AI/ML — I build systems end to end rather than staying in one lane. Recent work includes BrokerBots, a multi-agent LLM system (built on MCP) where agents modeled on investors like Buffett, Dalio, and Cathie Wood analyze markets using live data from the Polygon API; a plagiarism detection tool that placed as a Nokia hackathon runner-up, combining semantic embeddings (E5-large-v2), fuzzy matching, and automated PDF reporting; and a healthcare data copilot built on Databricks, PySpark, and Delta Lake processing 100K+ records for an NGO in Ghana. I also co-authored a paper on a CNN+Transformer model for malaria detection (92.6% accuracy). On the backend/full-stack side, I've built and shipped Spring Boot + React applications, and I'm expanding deeper into Java backend engineering and AWS cloud infrastructure alongside my data engineering work. I hold the Databricks Certified Generative AI Engineer Associate certification and graduated from KIIT University (B.Tech CSE, CGPA 8.66). Open to SDE, backend, AI/ML engineering, and platform engineering roles at product companies — always happy to connect.

Location

Bhubaneswar

AI stack

claude code

cursor

langgraph

Microsoft Copilot

OpenAI Agents SDK

Qdrant

Work experience

Gen AI Developer at Accenture, Jul 2026 - Present · 2 mo, Bengaluru, Karnataka, India, Completing hands-on training in AWS, Python, Big Data, SQL, and Generative AI, building practical skills across the full AI engineering stack. – Working through structured modules covering AI/ML fundamentals and cloud-based data engineering, preparing for live client project work.

AI Engineer at Spiritual Data, May 2025 - Aug 2025 · 4 mos, Remote, Python · LLMs · FastAPI · Agentic Systems · APIs Worked on LLM-powered conversational AI systems, contributing to backend services built with FastAPI and modular domain-driven architecture. Implemented and debugged dynamic domain loading, function resolution, and API orchestration, ensuring reliable runtime behavior across environments. Integrated LLM workflows with application logic, focusing on correctness, extensibility, and production-readiness rather than demo-level prototypes. Collaborated on API design, request validation, and system-level debugging, resolving issues related to configuration, environment variables, and module imports. Gained hands-on experience working with real production codebases, emphasizing maintainability, structured logging, and scalable AI system design. 📌 Focus: Applied LLM engineering, backend AI systems, real-world debugging

API Fellowship at Keploy 🐰, May 2025 - Jul 2025 · 3 mos, Selected as a Keploy API Fellow, contributing to open-source automated API testing and mocking tools used in backend engineering workflows. Worked with Go and Python to understand and improve API behavior, test coverage, and regression detection without manual test writing. Assisted in validating real backend services, focusing on correctness, reliability, and edge-case handling in distributed systems. Gained exposure to modern backend practices, including API contracts, request/response validation, and CI-friendly testing pipelines. Collaborated with mentors and contributors in an open-source engineering environment, following structured contribution and review processes

Trainee – ServiceNow CSA & CAD Training Program at ServiceNow, Feb 2025 - Jul 2025 · 6 mos, Remote, Successfully achieved the ServiceNow Certified System Administrator (CSA) certification, demonstrating strong foundational knowledge of the platform. Completed CAD training modules, including custom application development, scripting, and integrations, although did not pass the certification exam. Committed to further preparation and retaking the exam to strengthen my ServiceNow development skills. Engaged in collaborative projects, case studies, and practical labs to build real-world problem-solving abilities on the ServiceNow platform.

Virtual Intern at Alteryx, Oct 2024 - Dec 2024 · 3 mos, Remote, ALTERYX DATA ANALYTICS PROCESS AUTOMATION VIRTUAL INTERNSHIP (OCT - DEC 2024) By AICTE

Intern at Chhattisgarh State Power Distribution Company Limited (CSPDCL), May 2024 - Jun 2024 · 1 mo, Raipur, Worked on complaint management site built in django

Education

KIIT - Kalinga Institute of Industrial Technology

Delhi Public School (DPS)

Public links

github: https://github.com/KaushikML

medium: https://medium.com/@roykaushik354

leetcode: https://leetcode.com/kaushikroy12