Abhi Gangani
Gen AI Developer at Aviva
Stony Stratford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAbhi Gangani is a Developer Advocate and Gen AI engineer based in the Greater Cambridge area with a background blending applied data science, DevOps, and hands-on teaching. He has delivered cloud and monitoring reliability for large telco platforms at _VOIS, built ML-driven solutions and data pipelines in enterprise settings at Cognizant, and most recently supports developer adoption and tooling at Fetch.ai. Comfortable across Python, AWS, Azure, Linux, and analytics stacks, he pairs production-focused engineering with experience translating technical concepts for non-technical audiences from his time leading instruction at Code Ninjas. His MSc in Applied Data Science underpins a practical, metrics-driven approach—evidenced by measurable improvements in monitoring efficiency—and he brings a knack for turning complex telemetry and ML prototypes into usable developer-facing products.
2 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Applied data science, Master of Science - MS, Applied data science at Anglia Ruskin UniversityEDA : Performing EDA on bank dataset to minimise the risk of losing money while lending to customers.
EDA and Logistic Regression : Performing EDA on dataset and developing models to evaluate the leads for education company to sell courses. (AUC score 82%)
Spark-Streaming : Fetching real time retail data from kafka stream and developing different KPI's using spark streaming and visualising it on dashboards for business understanding.
Credit-card fraud detection : Using EMR, kafka and RDS to create pipeline to classify if transactions done using credit cards are fraud or legit., EDA : Performing EDA on bank dataset to minimise the risk of losing money while lending to customers.
EDA and Logistic Regression : Performing EDA on dataset and developing models to evaluate the leads for education company to sell courses. (AUC score 82%)
Spark-Streaming : Fetching real time retail data from kafka stream and developing different KPI's using spark streaming and visualising it on dashboards for business understanding.
Credit-card fraud detection : Using EMR, kafka and RDS to create pipeline to classify if transactions done using credit cards are fraud or legit. at International Institute of Information Technology BangaloreBachelor of Engineering, Civil Engineering, Bachelor of Engineering, Civil Engineering at M. S. ramaiah Institute of technology
Github Skills (12)
ai10
llm10
blockchain8
python8
ai-agent8
claude6
multi-agent6
openai6
agentic-ai6
autonomous-agents6
langchain6
blockchain-network3
Programming languages (2)
Github contributions (5)
abhifetch/vectaraUAgentsRAG
Sep 2024 - Nov 2024
This rag is created vectara API and wrapper using fetchs' uAgents on Agentverse. This answers all your queries related to fetch uagents.
Contributions:1 review, 1 PR, 5 pushes in 1 month
abhifetch/uAgents
Mar 2024 - Apr 2024
A fast and lightweight framework for creating decentralized agents with ease.
Contributions:15 pushes, 4 branches in 1 month
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