Adnaan Nazir

CTO

Srinagar, Jammu & Kashmir, India6 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Over 10 years of experience in AI and software engineering.
Expertise in developing generative AI applications.
Strong background in machine learning and data science.

Stackforce AI infers this person is a skilled professional in Legal Tech and AI-driven solutions.

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Skills

Core Skills

Large Language Models (llm)Generative AiNatural Language Processing (nlp)Machine LearningAmazon Web Services (aws)Computer Vision

Other Skills

Algorithm OptimizationAlgorithmsCCascading Style Sheets (CSS)Convolutional Neural Networks (CNN)Data AnalysisData AnalyticsData ScienceData StructuresDevOpsElasticSearchGenerative Adversarial Networks (GANs)GitGithubGitlab

About

I work on developing and deploying innovative solutions for generative AI applications, such as text, image, and video synthesis, using LLMs, state-of-the-art techniques and frameworks, such as Langgraph, Langchain, Vector Databases, Advanced RAG, Multi-Agentic Systems, MCP etc. I have over 10 years of professional experience in software engineering, data science, and machine learning, with a strong background in Python, ML, NLP, LLMs, Multi Agentic Systems, Computer Vision, Azure, and AWS. I graduated with a B.Tech. in Computer Science from the Indian Institute of Technology, Mandi, where I also served as a teaching assistant for the course on Artificial Intelligence. I am passionate about problem-solving and building solutions for real-world scenarios, and I continuously learn and improve my skills and knowledge in the field of AI.

Experience

6 yrs 5 mos

Total Experience

1 yr 10 mos

Average Tenure

Current Experience

My pocket lawyer

Lead AI Engineer

Sep 2024 – May 2025 · 8 mos · Los Angeles, California, United States · Remote

Building LLM powered platform which authentically replicates a lawyer’s decision-making process
and automates complex legal workflows.
The platform utilizes dynamic, intelligent agents that adapt and incorporates data feedback
loops, ensuring reliable and precise legal outputs.

Large Language Models (LLM)Multi-agent SystemsRetrieval-Augmented Generation (RAG)Vector DatabasesGenerative AI

Callidus legal ai

Lead LLM Engineer

Aug 2022 – Aug 2023 · 1 yr · Dallas, Texas, United States · Remote

Spearheaded the development of a scalable backend for fine-tuning Large Language Models
(LLMs) to enhance attorney productivity, incorporating Retrieval-Augmented Generation (RAG)
for improved accuracy.
Led a robust pipeline for continuous LLM training and deployment, leveraging advanced NLP
techniques and MLOps practices for efficiency and scalability.
Developed APIs for model inference, ensuring seamless integration with applications, and
optimized for load balancing and auto-scaling.
Pioneered ethical AI practices, focusing on transparency, fairness, and privacy in AI model
development and deployment.