Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic

Aditya Jha

Bengaluru

Summary

Dynamic AI Engineer with a proven track record at Capgemini, specializing in agentic AI workflows and LLM optimization. Expert in Python and machine learning, I developed advanced solutions that enhanced clinical decision support efficiency and automated SDLC processes. A collaborative team player, I excel in driving innovation and improving system performance.

Overview

4
4
years of professional experience

Work History

Associate Al Engineer

Capgemini
Bangalore
05.2024 - Current
  • Developed a multi-agentic application to automate SDLC, enabling seamless coordination between agents for tasks like code generation, testing, and reporting.
  • Built an automated test case generation system leveraging LLMs and agentic workflows to process go files, generate code, and produce relevant test scenarios with minimal human input.
  • Designed and deployed a multi-agent Al solution for a healthcare client, improving clinical decision support system efficiency.
  • Engineered batch processing pipelines for large datasets, reducing latency and improving throughput in production.
  • Specialized in compiling & optimizing LLMS ILLAMA, Phi-3) using quantization and hardware acceleration to improve inference speed.
  • Researched and implemented agentic Al task planning and contextual reasoning strategies.
  • Optimized model deployment, including model compression and GPU inference tuning.
  • Enhanced RAG & Vision-RAG pipelines, boosting accuracy in document understanding and multimodal Al tasks.
  • Developed advanced prompt optimization strategies for LLMs across multiple domains.

Software Engineer

NEC India
Hybrid
01.2022 - 05.2024
  • Worked in Smart Automation & Services to develop code for secure document generation and BDC (Business Document Connectivity) systems.
  • Applied Prompt Engineering techniques such as Tree of Thought (TOT), Retrieval-Augmented Generation (RAG), and Directional-Stimulus Prompting (DSP) using models like Mistral-78 and Nous-Hermes-Llama 2-138.
  • Collaborated in a cross-functional team to integrate LLM-driven solutions into enterprise workflows.

Education

B.Tech - Information Technology

Pranveer Singh Institute of Technology
Kanpur, India
01.2023

Intermediate - Science Stream

Sunbeam English School
Varanasi, India
01.2019

Skills

  • Python programming
  • LangChain and LangGraph
  • Agentic AI workflows
  • Hugging Face Transformers
  • TensorFlow and PyTorch
  • Web development (HTML5, CSS3,React)
  • Linux operating system
  • TensorRT-LLM optimization
  • Model Compilation
  • Data manipulation (Pandas, NumPy)
  • Machine learning
  • Transformer architecture design
  • RAG and Vision-RAG frameworks
  • LLM optimization strategies

Accomplishments

Gem Award, Recognized for exceptional contributions towards Agentic Al innovation at Capgemini, 2024

Timeline

Associate Al Engineer

Capgemini
05.2024 - Current

Software Engineer

NEC India
01.2022 - 05.2024

B.Tech - Information Technology

Pranveer Singh Institute of Technology

Intermediate - Science Stream

Sunbeam English School

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