Rithin Manoj

Data Scientist

Bengaluru, Karnataka, India4 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing LLM-powered systems.
Proven track record in optimizing microservices architectures.
Strong foundation in both software engineering and data science.

Stackforce AI infers this person is a Data Scientist with a strong focus on AI and Microservices in the Fintech and SaaS sectors.

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Skills

Core Skills

Data ScienceAi DevelopmentSoftware EngineeringMicroservices

Other Skills

Agentic AI DevelopmentECSPython (Programming Language)React.jsELK StackOptimization StrategiesPython SDKsAWS LambdaLangGraphSoftware DesignAmazon EC2Amazon Web Services (AWS)GitProblem SolvingCore Java

About

I am a Data Scientist at JPMorgan Chase with ~4 years of industry experience and hold a Bachelor of Technology in Computer Science and Engineering from IIT Kharagpur. Previously, I worked as a Software Development Engineer at Cisco, where I built and optimized scalable backend systems, strengthened security mechanisms, and delivered production-grade features in distributed environments. My work involved technologies such as Java, Python, AWS, and microservices, with a strong focus on performance, reliability, and observability. In my current role at JPMorgan Chase, I am working on projects involving LLM-powered systems, including the design and development of multi-agent chatbot architectures. My work focuses on creating intelligent agents, orchestrating agent interactions, and applying large language models to solve real-world enterprise problems. I enjoy working at the intersection of software engineering, data science, and applied AI, and I am motivated by building systems that are both technically robust and business impactful.

Experience

4 yrs 10 mos

Total Experience

4 yrs 4 mos

Average Tenure

6 mos

Current Experience

Jpmorganchase

Data Scientist

Dec 2025 – Present · 6 mos · Bengaluru · On-site

Agentic AI DevelopmentECSData ScienceAI Development

Cisco

2 roles

Software Engineer

Aug 2021 – Dec 2025 · 4 yrs 4 mos · Bengaluru · Hybrid

Project 1: Deployed and managed the ELK stack in a microservices architecture, achieving scalability to handle 2000 TPS. Integrated Grafana and Prometheus as microservices for real-time operational visibility, reducing incident response time by 25%.
Project 2: Designed and implemented optimization strategies for legacy endpoint profiling, addressing customer-impacting bottlenecks and improving scalability by 20%. Collaborated with stakeholders to define and execute optimal design approaches.
Project 3: Led the development of a Python-based microservices solution for analyzing cloud workloads, enhancing security policy enforcement based on workload attributes. Engineered scalable and reliable data collection systems using Python SDKs for cloud attribute and metadata updates.

Python (Programming Language)React.jsSoftware EngineeringMicroservices

Intern

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India

Developed and maintained a scalable tool for high-traffic syslog generation, supporting up to 20,000 syslogs per second.
Conducted comprehensive scalability testing, leading to a 30% increase in system reliability.