Parteek Kumar

Software Engineer

Delhi, India4 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable microservices and APIs.
Proficient in integrating AI models into enterprise applications.
Strong background in data engineering and cloud infrastructure.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and cloud solutions for SaaS and Fintech.

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Skills

Core Skills

Artificial Intelligence (ai)Large Language Models (llm)

Other Skills

.NET FrameworkAIAzureC++Data EngineeringFAISSGCPGPTLLaMA2LangChainMATLABMachine LearningMixtralNvidia GPUsObject-Oriented Programming (OOP)

About

I am a Software Engineer with a strong grasp of backend systems, distributed architecture, and LLM-driven solutions. My core strength lies in building scalable microservices, designing clean APIs, and integrating AI models into real-world enterprise applications. Over the last three years, I've worked across industries to leverage Large Language Models (LLMs), prompt engineering, and retrieval-augmented generation (RAG) pipelines—deploying GenAI systems that deliver measurable business impact. I have a deep interest in combining data engineering, cloud infrastructure (Azure/GCP), and machine intelligence to solve high-impact problems. I've also solved 500+ problems across coding platforms, which keeps my algorithmic thinking sharp. Constantly learning. Eager to build. Always hands-on.

Experience

Microsoft

Software Engineer

Jul 2024 – Present · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

Built VIVA PAP, an AI powered onboarding platform using LLMs, embeddings, and semantic search (Azure), reduced manual efforts by 60%.
Developed “DataSenseAI” Copilot over Power BI using RAG, semantic parsing, and GPT-based visual retrieval, cutting query time by 95%.

Large Language Models (LLM)AIAzuresemantic searchRAGArtificial Intelligence (AI)

Deutsche bank

Software Engineer

Jul 2022 – Jul 2024 · 2 yrs · Pune, Maharashtra, India · On-site

Led development of dbLLM, a secure internal LLM platform (LLaMA2, Mixtral), with RAG, LangChain, FAISS, and REST APIs.
Deployed the platform on GCP + Nvidia GPUs, enabling scalable access to sensitive banking insights via GenAI.

LLaMA2MixtralRAGLangChainFAISSREST APIs+4

Nanyang technological university

Summer Research Intern

May 2020 – Jul 2020 · 2 mos · New Delhi, Delhi

Simulated optical systems using Python, MATLAB, and Zemax, reducing experimental cost via ray tracing + wavefront analysis.
Built models for data simulation, prediction, and optimization in biological physics.

PythonMATLABZemax