About
Backend Developer specializing in building scalable, reliable, and integration-ready backend systems using Python. Experienced in designing RESTful APIs, handling asynchronous workloads with Redis and Celery, and integrating machine learning and generative AI models into real-world products. Strong focus on system architecture, data flow design, fault tolerance, and performance optimization. Comfortable working across the full backend lifecycle—from schema design and API contracts to deployment and monitoring.
Skills
Core
Backend
Database
Infrastructure
DevOps
AI/ML
Selected Work
Speech Sentiment Analysis (SER)
Designed and implemented a Speech Emotion Recognition system using CNN, LSTM, and CLSTM architectures. Trained and evaluated models on CREMA-D, RAVDESS, TESS, and SAVEE datasets, achieving 93.27% accuracy. Built real-time inference pipelines for live audio input, enabling emotion-aware AI applications in customer service and healthcare.
CCTV Analytics for Crime & Crowd Management
End-to-end AI-powered surveillance platform for public safety monitoring. Features include crowd density estimation, crime detection, and facial recognition. Events are persisted in MongoDB, with automated alerting via Twilio and WhatsApp. Designed to support real-time processing and scalable deployment.
WhatsApp Automation & AI Agent Platform
Backend platform enabling automated WhatsApp workflows for businesses. Handles webhook ingestion, user state tracking, async AI responses, and database-backed conversation history. Designed for high reliability using Redis queues and Celery workers.
Experience
Shivohini TechAI LLP
Sept 2025 – Dec 2026- Designed and implemented backend architectures for conversational AI agents using LLaMA and OpenAI APIs.
- Built scalable WhatsApp automation systems using Meta WhatsApp Business API, including webhook ingestion, message routing, and template management.
- Implemented async task execution using Redis and Celery to handle message processing, AI inference, and database operations reliably.
- Integrated LLM-powered workflows with relational databases (MySQL → Supabase/PostgreSQL) to enable context-aware, multi-turn conversations.
- Worked closely with clients and internal stakeholders to translate business requirements into production-ready backend solutions.
Smart India Hackathon (Government of India)
Sept 2023- Developed a backend-driven CCTV analytics system for crime detection and crowd monitoring.
- Implemented computer vision pipelines using OpenCV for facial recognition, crowd counting, and anomaly detection.
- Designed APIs and background processing workflows to handle real-time video analysis and alert generation.
- Integrated Twilio and WhatsApp notifications to deliver instant alerts for detected incidents.
Certifications & Awards
Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle University
Machine Learning & Data Science Using Python
Infosys Springboard
IgniteX Program Participant
Wadhwani Foundation
Smart India Hackathon Finalist
Government of India