Divyansh Bansal

Program Manager

Dehradun, Uttarakhand, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a full stack AI lead-finding agent.
Designed scalable backend systems for a startup.
Contributed to explainability in multilingual NLP.

Stackforce AI infers this person is a Full Stack AI Engineer with a focus on SaaS and AI integration.

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Skills

Core Skills

Node.jsExpress.jsLangchainAi AgentsNatural Language Processing (nlp)Explainable Ai

Other Skills

FirebasePineconeOpenAI APIMongoDBN8NVector DatabasesCloud FirestoreArchitectural DesignTeam LeadershipREST APIsReact.jsJavaScriptDeep LearningPyTorchData Visualization

About

Aspiring Full Stack AI Engineer with hands-on experience in developing projects and internship solutions that leverage AI to solve real-world problems. Skilled in building applications across the tech stack, with a strong willingness to learn and adapt to emerging technologies. Seeking opportunities to contribute to innovative product development while deepening expertise in full stack engineering and AI integration.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Meesho

Senior Associate - Program Operations Intern

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · On-site

Xebia

Project Intern

Jun 2025 – Jul 2025 · 1 mo · Remote

Built backend services with Node.js, Express.js, and the Firebase SDK, integrating storage, database, and authentication components.
Utilized Firebase Storage for secure and efficient file handling to manage user-uploaded files.
Developed a custom Firebase Cloud Function using Google ML Kit and Gemini for OCR processing, automating text extraction from documents.
Designed and exposed RESTful APIs consumed by a Flutter mobile application, ensuring efficient and secure data exchange between client and server.

Node.jsExpress.js

Groove innovations

Full Stack AI Intern

Jun 2025 – Jul 2025 · 1 mo · Remote

Developed a full stack AI lead-finding agent accessible via a Telegram chatbot supporting audio and text messaging.
Built backend workflows with LangChain and automated processes using n8n.
Conducted lead research using SerpAPI and Perplexity AI API, enriching data.
Automated personalized outreach emails by composing with OpenAI API and sending via Google Gmail API.
Integrated Pinecone vector database to optimize AI data retrieval and response accuracy.
Managed backend, API integrations, and chatbot frontend to deliver a seamless multi-modal user experience.

LangChainAI Agents

Litigate-iq

Backend Intern (Founding Team Member)

Oct 2024 – Mar 2025 · 5 mos · Dehradun, Uttarakhand, India · Hybrid

Helped launch the company as part of the founding engineering team, designing scalable backend systems using Node.js, Express.js and MongoDB to support core product functionality.
Developed and maintained REST API endpoints to enable smooth communication across services, ensuring alignment with product and business goals.
Deployed backend services on Render, optimized performance with a decoupled database backend, and exposed APIs consumed by the main application.
Collaborated closely with a Senior Manager from Google who shared the same product vision, and was offered a co-founder role in recognition of leadership and key contributions.

Node.jsExpress.jsMongoDB

Upes school of computer science

Research Intern

Sep 2024 – Oct 2024 · 1 mo · Dehradun, Uttarakhand, India · On-site

As a research intern, I contributed to developing a hybrid explainability framework for language identification (LID) in code-switched text. My focus was on implementing Grad-CAM to visualize model attention, helping us understand which words or phrases influenced the model's predictions. Working with models like HingBERT and HingRoBERTa, I applied Grad-CAM to enhance interpretability in a multilingual NLP context, specifically addressing challenges unique to code-switched language.

Explainable AINatural Language Processing (NLP)