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Parag Darade

Open to work3 years experience

Generative AI Engineer

Pune, Maharashtra, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Generative AI Engineer with 3+ years of experience in LLM systems, RAG, and AI automation.

GitHub

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Skills & Technologies

30 skills
rag pipelinesagentic workflowsprompt engineeringllm evaluationlangchainpythonfastapitransformerspytorchtensorflowscikit-learnwhisperweaviatepineconefaissdockerkubernetesci/cdazuregcpvertex aimongodbmysqlseleniumbeautifulsoupmatplotlibseabornpowerbiopenai apielevenlabs

Work Experience

GenAI Developer

CodeSage India Private Limited

Jun 2025 - Present Pune, India
  • Architected a Retrieval-Augmented Generation (RAG) system for legal knowledge retrieval using LangChain, Weaviate, and OpenAI, enabling citation-backed answers across millions of legal documents.
  • Designed document ingestion pipelines supporting legal document indexing, embedding generation, and hybrid retrieval workflows combining semantic search with keyword ranking.
  • Built AI-powered contract drafting modules (NDAs, wills, leases, policies) with automated Word/PDF generation, reducing manual drafting time for legal teams by approximately 70%.
  • Developed a document review and compliance analysis pipeline using Mistral OCR and LLM summarization to extract clauses, obligations, and compliance risks from scanned legal contracts.
  • Implemented scalable backend APIs using FastAPI, supporting token usage tracking, chat history persistence, and enterprise- grade deployment on Azure infrastructure.
  • Developed LLM-powered enterprise workflows for a financial services client focusing on scalable AI automation and knowledge retrieval.
  • Designed backend services and APIs to integrate AI capabilities into existing enterprise systems while maintaining strict security and data governance requirements.
  • Implemented document processing and AI-driven analysis pipelines to automate manual workflows and improve operational efficiency.
  • Collaborated with product teams and engineering stakeholders to align AI system capabilities with enterprise use cases and deployment constraints.
  • Architected a Python-based backend for a dynamic n8n workflow marketplace, enabling new workflows to be added without requiring frontend or backend changes.
  • Designed modular APIs for workflow registration, execution, and monitoring, reducing workflow integration time by approx 60%.
  • Contributed to building a scalable AI automation platform enabling rapid onboarding of enterprise automation workflows.

Freelance AI Consultant

Freelance AI Consultant

Dec 2024 - May 2025 Gurgaon
  • Designed and deployed an end-to-end Retrieval-Augmented Generation (RAG) system to generate personalized meal instructions from conversational WhatsApp history using LangChain, FAISS, and GPT-4o.
  • Built a bilingual transcription and structured data extraction pipeline for customer onboarding calls using Whisper and Azure Speech-to-Text, storing structured insights in Supabase for downstream AI workflows.
  • Architected an agentic workflow for automated meal planning, orchestrating LLM reasoning, conversational context, and task execution using OpenAI function calling and workflow automation.
  • Developed a voice-based communication pipeline using ElevenLabs to automatically generate audio instructions for cooks based on dynamically generated meal plans.
  • Deployed scalable AI services on Google Cloud Platform and Azure AI Foundry, implementing Redis caching and vector storage to optimize response latency and system performance.
  • Delivered the complete AI architecture including data pipelines, model integration, and backend services, acting as the primary AI consultant for the platform.

LLM Expert

Centific Global Solutions

Apr 2024 - Nov 2024 Hyderabad
  • Led data governance and evaluation workflows for curated datasets used in training and aligning a large language model powering an enterprise product information chatbot.
  • Collaborated directly with client stakeholders to define dataset requirements, annotation guidelines, and quality standards for manually curated training data used in model alignment and evaluation.
  • Managed and trained a team of 7–8 data specialists, providing task clarification, annotation training, and quality review processes to ensure dataset consistency and compliance with project standards.
  • Conducted manual validation and review of generated datasets, identifying data quality issues, ambiguity, and potential bias that could negatively impact model responses.
  • Coordinated with international teams across multiple geographies, ensuring alignment on data curation guidelines, evaluation objectives, and model behavior expectations.
  • Performed post-training evaluation of LLM outputs, analyzing response quality, safety compliance, and alignment with project- specific behavioral guidelines.
  • Identified failure patterns such as hallucinations, policy violations, and low-relevance responses, and proposed targeted dataset improvements to address these issues.
  • Collaborated with cross-functional teams to curate specialized datasets aimed at improving model accuracy, safety, and response consistency.
  • Contributed to maintaining responsible AI practices by ensuring generated responses adhered to ethical guidelines and operational constraints.
  • Documented evaluation findings and provided structured feedback reports to guide dataset improvements and model behavior refinement.

Associate Data Scientist

iNeuron Intelligence Pvt. Ltd.

Jan 2023 - Mar 2024 Bangalore
  • Developed a Retrieval-Augmented Generation (RAG) chatbot using GPT-3.5 and LangChain to answer student queries using company course materials, improving relevance of responses while reducing API costs through optimized retrieval and routing strategies.
  • Built an automated assignment and quiz evaluation system capable of grading large volumes of student submissions, reducing manual grading workload by approximately 90%.
  • Designed a knowledge extraction pipeline using open-source LLMs (Llama2, Zephyr) to generate over 10,000 FAQs from 23,000+ course videos, creating a structured knowledge base for student support systems.
  • Developed a video Q&A assistant leveraging Whisper for transcription and LLM-based reasoning, enabling students to query lecture content using natural language.

Projects

Freelance Project

PythonLangChainOpenAI GPT-4FastAPIDockerAzure
  • Solely designed and developed AI modules for Sharkdom’s B2B partnership platform, enabling automated MOU and partnership proposal generation using LLMs.
  • Built intelligent partner-matching and proposal drafting workflows, reducing manual drafting effort and accelerating partnership setup from weeks to hours.
  • Delivered end-to-end AI services, including architecture, model integration, and deployment, acting as the dedicated AI consultant for the platform.

AI-Powered Mock Interview Platform

  • Built an AI-driven mock interview platform that generates personalized interview questions based on user resumes using GPT- 3.5, enabling dynamic interview simulations tailored to candidate profiles.
  • Developed an automated interview evaluation pipeline that transcribes candidate responses using Whisper and analyzes responses to provide structured feedback on strengths, knowledge gaps, and communication clarity.
  • Integrated multimodal analysis combining speech transcription and computer vision models to assess non-verbal cues such as posture and facial expressions during mock interviews.
  • Implemented backend to support real-time interview simulation, response capture, and AI-driven feedback generation.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

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AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

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About Details

Professional Bio

Generative AI Engineer with 3+ years of experience building and deploying production-scale LLM systems including RAG, agentic workflows, and AI automation platforms. Experienced in architecting end-to-end AI solutions from data pipelines to cloud deployment using LangChain and modern LLM APIs.

MBA (Business Analytics)

Sinhgad Institute of Management (SPPU) (2019 - 2021)

B.E. (Computer Engineering)

Genba Sopanrao Moze College of Engineering (SPPU) (2014 - 2019)

Languages: English, Hindi