Abhishek Handibag

Software Engineer

Pune, Maharashtra, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI-driven enterprise solutions and backend development.
  • Proficient in building scalable, secure AI applications.
  • Innovative contributions to generative AI and automation.
Stackforce AI infers this person is a SaaS-focused Software Engineer specializing in AI-driven solutions and full-stack development.

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Skills

Core Skills

Ai-driven Enterprise SolutionsBackend Api DevelopmentAi-powered ApplicationsFull-stack Application Design

Other Skills

AI AgentsAI Red Teaming for AgentsAI content moderationAWS EC2Agentic AIAmazon EC2Amazon Web Services (AWS)Application Programming Interfaces (API)Architectural DesignAzure AI Content SafetyAzure AI FoundryAzure Automated EvaluationsAzure Cosmos DBBack-End Web DevelopmentChatbots

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Equations work

2 roles

Software Engineer (AI/ML)

Sep 2024Present · 1 yr 9 mos · Pune, Maharashtra, India · On-site

  • As a Software Engineer at Equations Work, I specialize in building AI-driven enterprise solutions involving multi-agent orchestration, backend API development, retrieval-augmented generation (RAG), and AI security & evaluation.
  • Generative AI & Multi-Agent Systems :
  • Designed multi-agent orchestration systems using Azure AI Foundry, LangChain, LangGraph, CrewAI, and Google ADK for intelligent workflow automation.
  • Built context-aware chatbots and RAG pipelines with semantic search over multimodal content using PGVector, Google Gemini, and OpenAI.
  • Developed AI solutions including synthetic data generation, deepfake detection, and image generation leveraging LLMs and vision models.
  • Engineered zero-shot object detection pipelines using OWLv2, Grounding DINO, and YOLOv11.
  • Created Model Context Protocol (MCP) servers for real-time data integration.
  • AI Security & Evaluation :
  • Conducted AI red teaming using PYRIT to identify vulnerabilities and implement guardrails.
  • Performed AI agent evaluation using Azure AI Content Safety and Azure Automated Evaluations for production deployments.
  • Backend Development & Infrastructure:
  • Developed scalable backend APIs using FastAPI, Django, and Flask with DevOps best practices.
  • Integrated Azure Cosmos DB, PostgreSQL, PGVector, and vector databases for efficient data handling.
  • Built containerized environments using Docker, deployed on AWS EC2 with Terraform.
  • Implemented AI orchestration workflows.
  • Full-Stack Development:
  • Built full-stack applications using React, Material UI, JavaScript, and Python backends.
  • Developed interactive AI interfaces with Gradio for rapid prototyping.
  • Key Innovations for Experizer.ai:
  • Engineered a RAG-powered documentation assistant for Experizer.ai knowledge base.
  • Designed an AI content moderation system for Community.Experizer.ai that transforms inappropriate language while preserving context.
Azure AI FoundryLangChainLangGraphCrewAIGoogle ADKPGVector+22

Trainee Software Engineer (AI/ML)

Mar 2024Sep 2024 · 6 mos · Pune, Maharashtra, India · On-site

  • As a Trainee Software Engineer at Equations Work, I contributed to AI-powered applications and GenAI-integrated platforms, working across backend development, LLM integration, and full-stack application design.
  • AI & LLM Integration:
  • Built multimodal chatbot systems with semantic search over video content using RAG pipelines and LangChain.
  • Developed Flask and FastAPI APIs integrating LLMs (ChatGPT, Anthropic, Google Gemini, Stable Diffusion) with PostgreSQL for diverse applications including data augmentation and content generation. - Created AI-powered content moderation systems using Google Gemini for intelligent text transformation.
  • Designed RAG-based pipelines for video content processing enabling context-aware information retrieval.
  • Backend Development & Database Design:
  • Engineered backend APIs using Flask, FastAPI, and Django for scalable AI-driven applications.
  • Designed and optimized PostgreSQL and MongoDB databases to meet client-specific requirements.
  • Implemented SSO authentication systems bridging MySQL and MongoDB architectures for seamless user management.
  • Synthetic Data Generation Platform :
  • Led the full development lifecycle of a synthetic data generation product using few-shot prompting with LLMs for data augmentation and privacy-preserving machine learning.
  • Managed end-to-end product development from Figma mockups to production deployment.
  • Built scalable backend infrastructure supporting diverse data generation workflows.
  • Full-Stack Development:
  • Designed and developed user interfaces using React.js and Material UI, enhancing user experience across multiple projects.
  • Built responsive, intuitive frontend applications integrated with Python-based backend services.
  • Contributed to performance optimization and feature enhancements across distributed systems.
  • Through these efforts, I gained hands-on experience in AI-driven development, GenAI integration, RAG architectures, full-stack solutions, and scalable software design.
RAG pipelinesLangChainFlaskFastAPIPostgreSQLMongoDB+4

Education

Savitribai Phule Pune University

Bachelor of Engineering - BE — Computer Engineering

Jun 2020Apr 2024

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