Gautam Raj

Co-Founder

Bihar, India6 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in building scalable Generative AI systems.
Proven track record in data-driven decision making.
Strong experience in automation and data engineering.

Stackforce AI infers this person is a Data Engineer with a focus on AI and E-commerce analytics.

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Skills

Core Skills

Data EngineeringProject ManagementAutomationBusiness Analytics

Other Skills

PythonAdvanced SQLTableauSQLGitHub ActionsLarge Language Models (LLM)Business Development SupportSearch Engine Optimization (SEO)Data AnalyticsDeep LearningBrand DevelopmentTeamworkMachine LearningCHTML

About

Presently, I am an Open Source Contributor focused on contributing to production-grade Generative AI systems. I specialize in bridging the gap between LLM prototypes and scalable infrastructure. My engineering philosophy is simple: build systems that are reliable, observable, and scalable. Recent Technical Highlights: 1. Open Source: I actively contribute to the AI ecosystem. I recently merged a native AWS Bedrock integration into Pathway (a real-time ETL framework with 57K+ stars) and fixed critical function-calling bugs in Mozilla AI’s SDK across 5 major LLM providers. 2. System Architecture: I architect end-to-end RAG (Retrieval-Augmented Generation) platforms using Qdrant, FastAPI, and Kubernetes, ensuring sub-second semantic search and robust observability with OpenTelemetry. Core Tech Stack: 1. GenAI: LangChain, LlamaIndex, RAG, AWS Bedrock, OpenAI API 2. MLOps: Docker, Kubernetes, Airflow, MLflow 3. Python, SQL, Apache Spark 4. Vector DBs: Qdrant, Pinecone

Experience

6 yrs 9 mos

Total Experience

3 yrs 4 mos

Average Tenure

Current Experience

Navprayas - a group of innovative thoughts

Associate Manager

Oct 2021 – Nov 2025 · 4 yrs 1 mo · Gaya, Bihar, India · On-site

Worked as a Associate Manager in the Founder’s Office at an NPO, where I was part of the early founding team responsible for building the organisation’s data systems from the ground up. I designed automated pipelines using GitHub Actions, developed workflows for data cleaning, and built dashboards that transformed raw data into actionable insights for leadership.
The zero-to-one nature of the role meant owning projects end-to-end—requirements, planning, implementation, and continuous improvement. This strengthened my expertise in Python, Advanced SQL, Tableau, and automation, while also giving me hands-on experience in leadership and project management.
I also helped establish data-driven processes across teams by defining metrics, creating reporting frameworks, and supporting programme-level decisions. My motivation throughout was to build systems that enable meaningful social impact through better visibility and informed action.

PythonAdvanced SQLTableauAutomationData EngineeringProject Management

Entrepreneurship cell, nit trichy

3 roles

Head of Brand Development

May 2020 – May 2021 · 1 yr

Brand Development Manager

Apr 2019 – May 2020 · 1 yr 1 mo

Brand Development and Outreach Coordinator

Aug 2018 – Mar 2019 · 7 mos

Indian institute of management bangalore

Business Development Intern

Nov 2018 – Dec 2018 · 1 mo · Bengaluru Area, India · On-site

Worked as a Business Growth Analytics Intern under Professor Seema Gupta for Krigi, an e-commerce platform connecting fashion manufacturers with retailers across Tier 2 and Tier 3 cities.
My work focused on using data to drive growth decisions and strengthen Krigi’s demand–supply ecosystem:
Analysed retailer and manufacturer behaviour to identify high-potential segments, product demand trends, and regional buying patterns.
Supported the onboarding funnel by building simple dashboards and tracking metrics such as activation rate, cohort performance, and retention behaviour.
Evaluated credit-based purchase patterns and recommended strategies to improve adoption among target clusters.
Collaborated with the growth team to test hypotheses, refine messaging, and measure the impact of sales and outreach campaigns.
Achievements:
Built an analytics-based segmentation model that highlighted high-value retailer clusters, resulting in a 32% improvement in repeat-purchase behaviour.
Designed a reporting framework that helped track onboarding performance and contributed to scaling the network to 375 retailers and 85 manufacturers, driving a 150% growth in sales.

PythonSQLBusiness Analytics