Digaamber Dhamija

Software Engineer

Bengaluru, Karnataka, India3 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Expertise in Generative AI and large language models.
Proven track record in deep learning and computer vision projects.
Strong problem-solving skills with a focus on automation.

Stackforce AI infers this person is a Full Stack Developer specializing in AI and Machine Learning solutions.

Contact

Skills

Core Skills

Large Language Models (llm)Generative AiDeep LearningMachine Learning

Other Skills

PythonJavaReact.jsComputer VisionDeep Reinforcement LearningAmazon Web Services (AWS)Natural Language Processing (NLP)Data ScienceWeb DevelopmentC (Programming Language)DjangoJavaScriptFlaskSQLHTML

About

As a Software Engineer 2 at JPMorgan Chase, I contribute to Generative AI initiatives, focusing on large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI solutions. My work supports the development of intelligent, scalable, and automated solutions to address key business challenges. I hold a Bachelor of Technology in Electronics and Computer Engineering from the Thapar Institute of Engineering & Technology. My technical skill set includes expertise in large language models, Python, React.js, and Java, which I leverage to create innovative and impactful software solutions. My approach emphasizes collaboration, problem-solving, and a dedication to aligning technology with organizational goals.

Experience

3 yrs 3 mos

Total Experience

3 yrs 3 mos

Average Tenure

3 yrs 3 mos

Current Experience

Jpmorganchase

3 roles

Software Engineer 2

Promoted

Feb 2026 – Present · 3 mos · Bengaluru, Karnataka, India

Large Language Models (LLM)Generative AIPythonJavaReact.js

Software Engineer 1

Jul 2023 – Feb 2026 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Software Engineer SEP Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India

Thapar institute of engineering & technology

Research Capstone

Jan 2022 – Dec 2022 · 11 mos · Patiala, Punjab, India

Developed a deep learning-based multiple camera tracking and counts system.

Deep LearningComputer Vision

Indian institute of technology, patna

Research Intern

Dec 2021 – Mar 2022 · 3 mos

Implemented deep reinforcement learning techniques such as Deep Q-Learning and Double Deep Q-Learning for spectrum optimization in mission-critical UAV networks.

Deep Reinforcement LearningMachine Learning