Aman Rehman

Software Engineer

New Delhi, Delhi, India4 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Generative AI and LLM integration.
Achieved 60% reduction in manual operations time.
Published research on AI-based pose recognition.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in automation and cloud solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Cloud ComputingMachine LearningAutomation

Other Skills

PythonAI/MLTime Series AnalysisLLMsLangChainAgentic AIPrompt EngineeringCloudDevOpsFastAPIAgentsLSTMsOracle CloudAPEXCloud Applications

About

I'm an enthusiastic software engineer with a strong foundation in AI/ML, backend systems, and demonstrable experience with cutting-edge tech technologies like Generative AI, Large Language Models (LLMs), LangChain. I’ve worked across modern tech stacks with impactful projects—Python, Node.js, MongoDB, Redis, Oracle Cloud, AWS, OCI, Docker and more, while also delivering quantifiable results I'm excited by the potential of generative AI and love building systems that automate, simplify, and enhance user experiences. Whether it’s predictive modeling, API design, or integrating LLMs into real-world workflows, I enjoy diving deep and shipping thoughtful solutions. Outside of work, I simplify system design case studies on @sysviz and have published research on AI-based pose recognition at IEEE conferences. I’ve also organized national-level hackathons, mentored juniors, and contributed to education as a teaching assistant.

Experience

4 yrs 11 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 9 mos

Current Experience

Oracle

Associate Engineer

Aug 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

LLM-Based AI Error Resolution: Designing a RAG system using LangChain, Agents to analyze error logs and automate error resolution. Currently deploying in OCI
Time Series Forecasting: Built forecasting model using LSTMs with ~80% accuracy, to forecast business-critical metrics for 2 customers, enabling proactive decision-making for multiple customers from different industries. Deployed using Oracle Cloud Infrastructure.
Automating manual onboarding of new customers onto a portal by implementing a new streamline process with human validation, saving upto 80% time compared to the previous manual process. Used APEX + FastAPI, deploying the FastAPI backend in OCI.
Participated in a Hackathon based on Oracle's new AI Agent Studio. Required us to come up with a problem statement and construct an Agentic system using AI Agent Studio platform.
Improved day-to-day operations with suggestions for more streamlined operations.
Undertook customer demos and deployments for Oracle SaaS applications.
Skills: Python, AI/ML, Time Series Analysis, LLMs, LangChain, Agentic AI, Prompt Engineering, Cloud, Automation, DevOps, FastAPI

PythonAI/MLTime Series AnalysisLLMsLangChainAgentic AI+7