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Aditya YadavAY
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Aditya Yadav

@adityayadav18

AI engineer at Sogedes GmbH who built production agent orchestration and a session-based RAG pipeline for voice and chat products.

Germany
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At Sogedes GmbH, I contributed to AiFctry, an enterprise AI platform powering VoiceBot, Chatbot, and Agent Assist products. I built proof-of-concept prototypes with stakeholders and shipped the ones that proved out in production.

I engineered a LangGraph-based Next-Step Recommender, defining tool access, execution state, and failure handling across multi-step agent actions. I also separated routing from generation so intent classification could direct requests before content was produced.

I independently architected a latency- and cost-optimised, session-based RAG pipeline with Redis-backed memory over ChromaDB. It retrieved enterprise documents for VoiceBot and Agent Assist while keeping retrieval within a two-second budget for live conversation.

I also built a privacy pipeline to mask PII before live conversation text reached the LLM, and an email automation product using the Azure Outlook Client API. Earlier at Sogedes GmbH, I implemented semantic search and modernised chatbot and voicebot systems; at Netlink Software Group America Inc, I worked on NLP tasks using Python libraries.

Experience

Work history, roles, and key accomplishments

NI

Data Analytics Intern

Netlink Software Group America Inc

Feb 2021 - May 2021 (3 months)

Performed NLP tasks using Python libraries such as Spacy and NLTK.

Education

Degrees, certifications, and relevant coursework

Technische Hochschule Deggendorf logoTD

Technische Hochschule Deggendorf

Master of Science, Artificial Intelligence and Data Science

2022 - 2025

Grade: 2.2 (Good) - German scale 1.0 (highest) to 5.0

Pursued a Master of Science in Artificial Intelligence and Data Science, with a joint degree program with the University of South Bohemia. Focused on advanced machine learning, theoretical foundations of AI, and distributed algorithms.

RV

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Bachelor of Technology, Computer Science Engineering

2017 - 2021

Grade: 7.8 CGPA (First Division with Honours) - Scale 1 to 10 (highest)

Completed a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 7.8 (First Division with Honours) on a scale of 1 to 10.

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