Pintu Kumar

Software Engineer

India5 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Expert in AI-powered product development.
Strong background in machine learning and system design.
Proficient in scalable cloud-native architecture.

Stackforce AI infers this person is a Backend-focused Software Engineer specializing in AI and cloud-native solutions.

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Skills

Core Skills

Software DevelopmentTechnical ArchitectureBackendMachine LearningData ScienceNlpResearch

Other Skills

C++PythonJavaNode.jsJavaScriptTypeScriptgRPCRESTKafkaRabbitMQLLMsAI AgentsDeep LearningVector SearchQdrant

About

I'm a software engineer at Microsoft, building AI-powered products using agent-based systems. I enjoy working at the intersection of applied machine learning, system design, and scalable cloud-native architecture. My recent work involves designing and developing intelligent systems using large language models, vector databases, and distributed services. I care about writing clean code, building reliable systems, and solving real-world problems with AI. ● Languages & Frameworks: C++, Python, Java, Node.js, JavaScript, TypeScript, gRPC, REST, Kafka, RabbitMQ ● AI & Data: LLMs, AI Agents, Machine Learning, Deep Learning, NLP, Vector Search, Qdrant, Redis ● Databases: PostgreSQL, MySQL, SQLite, MongoDB, Cassandra ● Cloud & DevOps: Google Cloud Platform (GCP), Kubernetes, Docker, Git, Linux ● Architecture: Microservices, Distributed Systems, Technical Architecture, Database Modeling

Experience

5 yrs 10 mos

Total Experience

3 yrs 8 mos

Average Tenure

2 yrs 2 mos

Current Experience

Microsoft

Software Engineer 2

Apr 2024 – Present · 2 yrs 2 mos · India · Hybrid

C++PythonJavaNode.jsJavaScriptTypeScript+27

Jio

Software Development Engineer

Aug 2020 – Apr 2024 · 3 yrs 8 mos · Hyderabad, Telangana, India

REST APIsDistributed ComputingSoftware DevelopmentBackend

Thoucentric

Data Science Intern

May 2019 – Jul 2019 · 2 mos · Bangalore , India

Data cleaning, preparation, filtering, feature selection/engingineering
Univariate/multivariate time series modelling for forecasting and planning
Distributed training of ML model using Dask on cloud(Azure)
Fuzzy Logic, ARIMA/SARIMA, Genetic Algorithm, Random Forest, Neural Net, EEMD SVM
Sentiment Analysis and Feature extraction using BERT in Natrual Language Processing.
Technology & Libraries : Pytorch, Python, Excel, Azure, Dask, Sklearn

Data cleaningpreparationfilteringfeature selection/engineeringUnivariate/multivariate time series modellingDistributed training of ML model+16

Indian institute of science (iisc)

Machine Learning Research Intern

May 2018 – Jul 2018 · 2 mos · Bangalore, India

1. Developed supervised, unsupervised and deep learning concepts
2. Learned coded caching and coded multicast which is the base of 5G wireless network.
3. Worked on CDN and SDN
4. Developed skills like python programming & basic concepts of auto-encoders.

Python programmingMachine LearningResearch