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ABHIJIT BONIK

Realtime Voice AI | Live Voice Agents | Conversational AI
Bangalore, Karnataka, India

System.profile

abhijit@ml-engineer:~$

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At Voicing AI, my focus is on leveraging Generative AI to transform B2B AI telephony, enhancing customer interactions with AI-enabled voice solutions. We are streamlining communication processes with innovative AI audio telephony, building upon a strong foundation in MLOps and prompt engineering.

Previously at Pixis, the team and I developed a Generative AI platform for Ad Creative generation, utilizing Computer Vision and a RAG based LLM architecture. This experience, along with my proficiency in multiple programming languages, has been instrumental in my current role, driving advancements in AI voicing infrastructure.

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Years Experience
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Microservices Built
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Software Releases
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Career.timeline

Jan 2025 — Present CURRENT

Lead Machine Learning Engineer

Voicing AI // Bangalore

  • Developing AI voicing infrastructure for B2B AI telephony at Voicing AI
  • Building AI agents with telephony-based voice enablement for enhanced customer interactions
  • Implementing low latency audio streaming pipelines
  • Engineering voice activity detection systems
Voice AI LangChain LangGraph Telephony MLOps
Jan 2024 — Dec 2024 1 year

Senior Backend Developer - Machine Learning

Pixis // Bangalore

Pixis develops codeless AI infrastructure to help brands scale all aspects of their marketing in a world of complex consumer behavior.

  • Built a Generative AI platform for generating Ad Creatives using Computer Vision and AI
  • Architected a RAG-based LLM system for intelligent content generation
  • Led model training and deployment pipelines for production ML systems
Generative AI Computer Vision RAG LLM Python
Oct 2021 — Jan 2024 2 yrs 4 mos

Software Engineer

FireCompass // Bangalore

Spearheaded feature development and optimization across microservices in Python, Node, and Go, deployed across Google Cloud, Azure, and AWS.

  • Engineered customer-centric service performance enhancements, reducing memory and CPU process costs while ensuring seamless UX
  • Implemented Kafka as a messaging service replacing Google Pubsub, lowering costs and enabling greater in-house control
  • Integrated Dead Letter Queue functionality within Kafka, addressing failure issues in both Producer and Consumer ends
  • Collaborated on over 20 micro-services and packages written in Python
  • Oversaw more than 50 software releases with meticulous project management
  • Mentored junior engineers, fostering growth while ensuring adherence to rigorous technical standards
Python Node.js Go Kafka GCP Azure AWS
Aug 2019 — Sep 2021 2 yrs 2 mos

Project Software Engineer

Indian Institute of Technology, Bombay // Mumbai

Backend Developer for the Spoken Tutorial project.

  • Built Event Logs and Analytics System using ELK stack
  • Wrote middlewares for capturing event logs with Logstash pipelines
  • Optimized ORM queries and implemented caching with Memcached
  • Created core modules and REST APIs for the platform
  • Wrote asynchronous Celery tasks and cron jobs for bulk video conversion (ffmpeg) and bulk mail delivery
  • Upgraded the entire system to the latest versions of Python and Django
Python Django ELK Stack Memcached Celery FFmpeg
Aug 2017 — Jul 2019 2 yrs

Jr. Software Engineer

Indian Institute of Technology, Bombay // Mumbai

Backend developer for the NVLI Project at IIT Bombay.

  • Created core modules for multiple Python and Django projects
  • Designed and developed REST APIs using Django Rest Framework; integrated third-party APIs
  • Developed a large Microservice Architecture based system with scalable deployment
  • Code monitoring, Git branch management, Docker and Docker Compose configuration
  • Worked with Apache Kafka and Elasticsearch for queuing and indexing event logs
  • Supervised interns across different projects and sub-projects
Django REST Docker Kafka Elasticsearch Microservices
Jan 2017 — Jun 2017 6 mos

Software Developer Intern (NVLI Project)

Indian Institute of Technology, Bombay // Mumbai

  • Created a Workflow and Revision module using Python
  • Wrote specifications for multiple modules
  • Integrated Solr search with a Drupal portal for generating search results
Python Solr Drupal
Nov 2013 — Apr 2016 2 yrs 6 mos

Web Research Analyst

Mirania Data Systems // Guwahati

  • Conducted web research and data analysis

Tech.stack

AI / ML

LangChain
LangGraph
RAG Architecture
Computer Vision
Voice AI / VAD
PyTorch
MLOps

💻 Backend

Python
Django / DRF
Node.js
Go
REST APIs
Celery

Cloud & Infra

Azure
AWS
Google Cloud
Docker
Kafka
ELK Stack
Elasticsearch

Credentials.verify

Deep Learning Specialization

Coursera / deeplearning.ai

Neural Networks and Deep Learning

Coursera / deeplearning.ai

Deep Learning with Python and PyTorch

IBM (DL0110EN)

Foundations: Data, Data, Everywhere

Google / Coursera

Academic.log

🎓

Master of Computer Applications (MCA)

Cotton University

Computer Science

2014 — 2017

Recent.posts

Jan 28, 2025 Voice AI

Building Low-Latency Voice Pipelines for Real-Time AI Agents

Exploring the architecture behind sub-200ms voice processing pipelines and the challenges of real-time telephony AI systems...

Read More →
Jan 15, 2025 LLM

RAG vs Fine-Tuning: When to Use Which for Production LLMs

A practical comparison of Retrieval Augmented Generation and fine-tuning approaches for enterprise LLM deployments...

Read More →
Dec 20, 2024 MLOps

Scaling Kafka for ML Inference Workloads

Lessons learned from migrating from Google Pub/Sub to Kafka for high-throughput ML inference pipelines...

Read More →

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