Summary

• AI-ML Developer with 5 years of experience in designing and implementing machine learning models, artificial intelligence solutions, and data-driven applications.
• Skilled in developing predictive models, natural language processing, and deep learning algorithms to optimize business processes and enhance decision-making.
• Proficient in Python, TensorFlow, and various ML frameworks, with a strong background in data analysis, model training, and deployment in production environments.
• Adept at collaborating with cross-functional teams to deliver innovative AI solutions and drive digital transformation.

Technical Skills

• Backend & Frameworks: Django, FastAPI, REST APIs, Multitenant Architectures, Agent-based Workflows
• AI & ML Technologies: TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, Whisper, Pyannote, RAG Pipelines, NLP/NLU
• Programming Languages: Python, JavaScript, TypeScript
• Databases: PostgreSQL, MongoDB, MySQL, Firebase Firestore, Weaviate, Neo4j
• DevOps & Cloud: Docker, CI/CD, GCP, AWS, Vercel, Replicate
• Tools: GitHub, Postman, Google Colab, Jupyter Notebook, VS Code
• Other Skills: Domain & DNS Integration, External API Connectors, Dashboard Development, Data Visualization
• Operating Systems: Windows
• Communication Tools: Microsoft Teams, Google Meet

Projects worked on

Bug Tracking System

Position & Platform: AI Integration Developer
Project Detail: Created an AI-powered bug tracking tool to improve developer workflows, focusing on automated bug descriptions and intelligent resolution suggestions.
Project Roles & Responsibilities:

• Designed AI models for bug categorization, natural language descriptions, and solution recommendations.
• Integrated the tool with QA workflows for continuous accuracy improvements.
• Built scalable backend APIs for real-time bug analysis using Django.
• Provided development teams with structured bug reports and resolution hints.

Enterprise AI Chatbot

Position & Platform: AI Integration Developer

Project Detail: Developed an advanced RAG-based AI chatbot for organizational knowledge management, integrating company policies and HR guidelines.

Project Roles & Responsibilities:

• Designed and implemented RAG architecture with Weaviate and Firebase Firestore.
• Built Django APIs for multitenant chat sessions.
• Fine-tuned LLMs to improve NLU and semantic accuracy.
• Deployed services in Dockerized containers on GCP for scalability.
• Integrated tenant-specific branding (logo, colors) for chatbot UI.
• Documented the full RAG pipeline for future enhancements.

Educational Mobile Application

Position & Platform: AI Integration Developer
Project Detail: Developed an AI-powered education platform with interactive storytelling, Q&A generation, and text-to-speech narration.
Project Roles & Responsibilities:

• Integrated AI models for dynamic story and question generation.
• Used GTTS for narration and Whisper diarization for speaker segmentation.
• Implemented backend services to track student progress in Firebase Firestore.
• Integrated Weaviate to enable semantic search of educational content.
• Managed scalability for large student groups.

Travel Recommendation System

Position & Platform: AI Engineer and Python Developer
Project Detail: Built a comprehensive travel recommendation engine offering personalized suggestions for hotels, attractions, and restaurants, along with customized trip itineraries.

Project Roles & Responsibilities:

• Designed AI-powered algorithms for personalized travel recommendations.
• Developed systems for suggesting hotels, attractions, and restaurants based on user preferences.
• Implemented trip itinerary generation based on user inputs. Created algorithm to balance activities, travel time, and user interests for optimal schedules.
• Optimized recommendation engine for speed and accuracy. Implemented caching and indexing strategies to handle large datasets efficiently.
• Collaborated with frontend team on user interface design. Ensured seamless integration of AI recommendations into the trip planning workflow.

Error Extraction and Resolver AI

Position & Platform: AI Engineer
Project Detail: Created an AI-powered system to analyze map files and console errors, identify the error’s location in code, and propose resolutions.
Project Roles & Responsibilities:

• Processed map files and error logs to detect issues at function/line level.
• Designed Django APIs for error parsing and reporting.
• Developed AI models to generate code-fix suggestions.
• Built a web UI for uploading files and viewing structured outputs.
• Deployed in Dockerized services for performance and portability.

LinkedIn Reachout Automation

Position & Platform: AI Engineer and Python Developer
Project Detail: Developed a LinkedIn automation system to streamline outreach campaigns, integrated with Google Sheets for lead management.
Project Roles & Responsibilities:

• Designed and implemented a LinkedIn automation bot with Django backend.
• Integrated with Google Sheets API for lead tracking.
• Built an AI-powered personalized messaging system.
• Implemented a 2-hour scheduling system for campaign execution.
• Added error handling and monitoring dashboards.
• Supported multi-client campaigns with tenant-aware campaign separation.

HR Management System

Position & Platform: AI Engineer and Python Developer
Project Detail: Developed an AI-driven HR Onboarding and Offboarding System to automate employee lifecycle management. Backend services were built with Django + FastAPI, with multi tenant workflows for HR departments.
Project Roles & Responsibilities:

• Designed AI-powered workflows for automated onboarding/offboarding, reducing manual effort.
• Integrated n8n automation for profile creation, IT credential setup, access revocation, and exit interview scheduling.
• Built an AI chatbot to support HR queries during onboarding/offboarding.
• Implemented sentiment analysis on exit interview data for retention insights.
• Designed tenant-based HR workflows in Django to manage multiple departments.
• Ensured secure handling of employee documents using NLP pipelines and external API verification.

Secure Password Management

Position & Platform: AI Engineer and Python Developer
Project Detail: Built a fully automated password rotation system for multiple environments (development, staging, production), ensuring security and compliance.
Project Roles & Responsibilities:

• Implemented Python/Django services for secure password lifecycle management.
• Built environment-aware rotation triggers with retry logic and exponential backoff.
• Integrated DNS/domain mapping for secure API endpoints.
• Used Docker for deployment across environments.
• Integrated Basecamp webhooks for notifications and logging.
• Achieved 100% automation of the password management process.

Test Cases Generator

Position & Platform: AI Engineer
Project Detail: Developed an AI-powered test case generator trained on a vast range of inputoutput test case pairs, deployed on Replicate to meet specific client requirements.
Project Roles & Responsibilities:

• Collected and preprocessed a large dataset of diverse test cases for model training.
• Utilized PEFT (Parameter-Efficient Fine-Tuning) techniques to fine-tune a pre-trained language model for test case generation.
• Experimented with various fine-tuning approaches including LoRA, Prefix Tuning, and PTuning to optimize model performance.
• Implemented prompt engineering techniques to guide the model in generating test cases according to client specifications.
• Developed a custom loss function to balance between test case diversity and adherence to client requirements.
• Deployed the fine-tuned model on Replicate, setting up API endpoints for easy integration with client systems.
• Created a monitoring system to track model performance and gather feedback for continuous improvement.
• Collaborated with the client to iteratively refine the model output and ensure it met their specific needs.

MoM Generator
Position & Platform: AI Engineer
Project Detail: Developed an advanced MoM generator capable of processing various input formats (audio, video, transcript) to produce accurate meeting summaries in English.
Project Roles & Responsibilities:

• Developed system to process multiple input formats (audio, video, text). Implemented format detection and appropriate preprocessing for each type.
• Integrated AI model for key information extraction and summarization. Fine-tuned language models for accurate meeting minute generation in English.
• Achieved high accuracy through iterative model improvements. Implemented feedback loops and continuous learning from user corrections.
• Integrated speech-to-text capabilities for audio/video inputs. Optimized transcription accuracy for various accents and audio quality levels.