Summary:

Senior Automation Workflow and AI Engineer with 4+ years of experience designing, building, and scaling intelligent automation systems and backend architectures. Strong expertise in workflow orchestration, API driven automation, Django, FastAPI, and multi-tenant platforms, combined with hands-on experience in AI-powered automation, RAG systems, NLP pipelines, voice-based agents, and event-driven workflows. Proven ability to deliver production-grade automation solutions using Docker, vector databases, and cloud platforms (AWS, GCP). Adept at owning automation systems end-to-end and collaborating across teams to replace manual processes with scalable, AI-driven workflows.

Skills:

• Automation & Backend Frameworks: Django, FastAPI, REST APIs, Workflow Automation, Event-driven Systems, Multitenant Architectures, Agent-based Workflows
• AI & ML Technologies: LLMs, TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, Pinecone, RAG Pipelines, NLP/NLU
• Programming Languages: Python, JavaScript
• Databases: PostgreSQL, MySQL, Firebase Firestore, Pinecone
• DevOps & Cloud: Docker, CI/CD, AWS, Vencel, Replicate
• Tools: GitHub, Postman, Google Colab, Jupyter Notebook, VS Code

Work Experience:

Timeline: 2021 to Present

• Designed and implemented automation-first backend architectures using Python, Django, and FastAPI to orchestrate complex business workflows.
• Built AI-driven automation workflows, including telephonic interview automation, conversational pipelines, trend-detection flows, and recommendation engines.
• Architected and optimised multi-step RAG and evaluation pipelines embedded directly into automated, event-driven workflows.
• Integrated third-party platforms (Cal.com, external services) into centralised, end-to-end automation pipelines.
• Collaborated with frontend and mobile teams to deliver real-time, API-orchestrated automated systems across multiple applications.
• Enhanced automation reliability by improving workflow performance, latency, error handling, and scalability in multi-tenant environments.

Projects:

AI Calling & Interview Scheduling System

Description:

Developed a fully automated AI-driven telephonic interview system where an AI agent conducts initial interviews, evaluates responses, and automatically schedules human interviews through workflow automation integrated with Cal.com.

Roles & Responsibilities:

• Designed automated workflows for interview initiation, evaluation, and scheduling.
• Built AI-powered telephonic interview logic using LLMs and Whisper ASR.
• Implemented automated evaluation engines to score candidate responses and generate structured summaries.
• Developed FastAPI services integrated into event-driven automation workflows.
• Automated interview scheduling through seamless integration with external scheduling platforms.
• Built dashboards to monitor automated interview flows, transcripts, and candidate scores.
• Ensured secure, searchable storage of interview data using vector databases.

Boltic Automation Workflow Platform

Description:

Built custom automation nodes and integrations for Boltic, a workflow automation platform like n8n.

Roles & Responsibilities:

• Developed custom automation nodes using a JSON-based execution framework.
• Implemented standardized JSON input/output schemas and OAuth2 authentication.
• Designed retry logic, fallback handling, and execution monitoring.
• Ensured workflow stability in multi-tenant and high-load environments.
• •Created developer documentation and usage guides for automation nodes.

Travel Recommendation System

Description:

Built an automated travel recommendation engine with personalized suggestions and itinerary generation.

Roles & Responsibilities:

• Designed automated AI pipelines for travel recommendations.
• Implemented itinerary generation workflows balancing time, distance, and preferences.
• Optimized automated data retrieval using caching and indexing.
• Integrated recommendation outputs into frontend workflows.

Error Extraction and Resolver AI

Description:

Developed an automated AI system to analyse errors, locate faulty code, and suggest resolutions.

Roles & Responsibilities:

• Automated processing of map files and console logs.
• Designed Django APIs for structured error extraction workflows.
• Integrated AI models for automated fix suggestions.
• Built a UI to support automated file uploads and reporting.
• Deployed Dockerized automation services.

LinkedIn Reach Out Automation

Description:

Built a fully automated LinkedIn outreach system with AI-powered personalization.

Roles & Responsibilities:

• Designed automated outreach workflows with scheduling.
• Integrated Google Sheets for automated lead ingestion.
• Built AI-powered personalized message generation.
• Implemented monitoring, error handling, and campaign tracking dashboards.
• Supported multi-client automation with tenant separation.

HR Management System

Description:

Developed an AI-driven HR onboarding and offboarding automation system.

Roles & Responsibilities:

• Designed automated onboarding and offboarding workflows.
• Integrated n8n automation for account creation, access control, and scheduling.
• Built AI chatbot support within HR workflows.
• Automated sentiment analysis on exit interview data.
• Implemented secure, tenant-based HR workflow management.

MoM Generator

Description:

Developed an automated MoM generator processing audio, video, and text inputs.

Roles & Responsibilities:

• Built automated pipelines for format detection and preprocessing.
• Integrated speech-to-text automation for audio and video.
• Designed AI-driven summarization workflows.
• Implemented feedback loops for continuous improvement.
• Optimized transcription accuracy across accents and audio conditions.