Amogh Agastya

Amogh Agastya

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💬 Conversational AI Evangelist | Helping Businesses Optimize Revenue Using Conversational AI
Bengaluru, Karnataka, India
Contact Amogh regarding: 
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Full-time jobs
Starting at USD50k/year
Flexible work
Starting at USD50/hour
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Networking

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Jobs verified_user 0% verified
  • turing
    Senior Gen AI Engineer
    turing
    Jun 2025 - Current (1 year 5 months)
    Focused on building reliable, scalable, and intelligent agentic solutions using the latest in LLMs and orchestration frameworks. Designing and deploying production-grade AI agents for enterprise clients, including multi-agent systems that automate complex workflows, and enhance decision-making.
  • Builderai
    Conversational AI Engineer
    Builderai
    Oct 2022 - Current (4 years 1 month)
    ‣ Instrumental in developing robust solutions for the NLP team and Conversational AI system - Natasha.
    ‣ Worked
    collaboratively with cross-functional teams, and seamlessly translated
    conversational flow designs into dialogue statecharts.
    ‣ Worked extensively with LLMs & Langchain, and skillfully deployed multiple Generative AI solutions with Docker and Kubernetes.
  • Better Programming
    Technical Writer
    Better Programming
    Jul 2022 - Nov 2023 (1 year 5 months)
  • M
    Lead Chatbot Developer
    Mobileprogramming
    Sep 2021 - Sep 2022 (1 year 1 month)
    Spearheaded large-scale conversational AI systems for enterprise clients — focused on customer experience, automation, and user experience. Highlights: 📈 Scaled chatbots to 100K+ monthly sessions, cutting support load by 85%+ via intelligent routing and NLP tuning. 🧩 Designed and deployed mega-agent architecture with 2000+ intents, improving accuracy and response quality across platforms. 🌐 Delivered multi-channel experiences across WhatsApp, Messenger, and web — using Dialogflow, webhooks, and custom fallback systems.
  • Mobile Programming LLC
    Chatbot Developer Lead
    Mobile Programming LLC
    Sep 2021 - Sep 2022 (1 year 1 month)
    ‣ Responsible for developing & managing enterprise customer service AI chatbots on Google Cloud Platform & Dialogflow.
    ‣ Created a mega-agent with over 2000 intents that flawlessly handles over 50,000 user sessions per month.
    ‣ Reduced live support agent engagement by more than 80% using smart agent deflection.
  • Upwork
    Chatbot Marketing Consultant
    Upwork
    Oct 2020 - Sep 2021 (1 year)
    ‣ Designed and developed high converting chatbots for websites and other communication channels, to skyrocket customer engagement, increase lead generation and boost sales.
  • LINEUPx
    NLP Engineer
    LINEUPx
    Apr 2020 - May 2020 (2 months)
    Applied NLP techniques to extract insights from job descriptions and resumes using modern language models and data mining. Highlights: 🧾 Built a NER (Named Entity Recognition) model for skill extraction, by finetuning BERT using spaCy, deployed on Google Cloud GPU. 📊 Created a prototype to semantically match candidates to job descriptions using word embeddings. 🌐 Developed web scrapers using BeautifulSoup and Scrapy to collect training data.
  • LINEUPx
    NLP Engineer Intern
    LINEUPx
    Apr 2020 - May 2020 (2 months)
    ‣ Learned and applied Natural Language Processing (NLP) techniques to parse resumes and job descriptions using Named Entity Recognition (NER) and word vectors with BERT language model, using spaCy and Google Cloud GPU.
    ‣ Applied Data Mining and web crawling techniques with Python and BeautifulSoup.
  • Finastra
    Associate Software Engineer
    Finastra
    Feb 2020 - Oct 2020 (9 months)
    ‣ Worked extensively with and applied Agile Methodologies and Behaviour Driven Development (BDD) of REST APIs.
    ‣ Learned the fundamentals & best practices of Software Development & Project Management.
  • Finastra
    Software Engineer Intern
    Finastra
    Nov 2019 - Jan 2020 (3 months)
    ‣ Wrote Automation test Scripts and validated APIs with Python Robot Framework and Java Spring MVC.
Education verified_user 0% verified
  • B M S College of Engineering
    Bachelor of Engineering - BE, Computer Science
    B M S College of Engineering
    Jan 2016 - Dec 2020 (5 years)
    Skills: MySQL ¡ Pandas (Software) ¡ Android Development ¡ Programming ¡ Python (Programming Language) ¡ Artificial Intelligence (AI)
  • B. M. S. College of Engineering
    bachelor, Bachelor of Engineering - BE Computer Science
    B. M. S. College of Engineering
    Jan 2016 - Jan 2020 (4 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • M
    Music Recommender System
    Sep 2019 - Nov 2019 (3 months)
    Music Recommendation Engine using content based and collaborative filtering techniques.
  • Q
    Quantum Machine Learning Classifier
    Aug 2019 - May 2020 (10 months)
    Quantum-Classical Hybrid ML classification model using IBMQ - cloud based quantum computing and Pennylane Quantum Machine Learning Framework.
  • G
    Gender Classification using Deep Learning
    Mar 2019 - Apr 2019 (2 months)
    Gender classifier system with face detection using convolutional neural networks (CNN) with Keras and OpenCV.
  • O
    Object Detection App using Tensorflow Lite
    Mar 2019 - Apr 2019 (2 months)
    Android app with built-in Machine learning model to detect and classify objects from real time video, using Google Tensorflow Lite.
  • G
    Gesture Controlled Surveillance Bot (IOT)
    Feb 2018 - May 2018 (4 months)
    Remote security surveillance robot with live video feed, controlled by hand gestures using Arduino.
  • F
    Facial Recognition Attendance System
    Feb 2018 - Apr 2018 (3 months)
    College Attendance System with Facial Recognition using a Python based Machine Learning Model.
  • F
    Fractal Image Generator using Java
    Aug 2017 - Oct 2017 (3 months)
    Enhanced Fractal Generator of Mandelbrot and Julia Sets.
Publications verified_user 0% verified
  • I
    A Review of Supervised Variational Quantum Classifiers
    IJERT
    Apr 2020
    Innovation in machine learning is far from complete. In fact, things are just about to take a quantum leap, when the world of quantum physics and machine learning are about to merge, aiming to solve complex problems through intelligent computing. Quantum-classical hybrid techniques termed variational algorithms are well-suited to noisy quantum computing devices and are swiftly gaining popularity in the quantum machine learning community. Quantum machines tap directly into an unimaginably vast fabric of reality - the unusual and counterintuitive realm of quantum field theory. Quantum computers will predictively play an important role in machine learning, including the essential process of accessing more computationally complex feature spaces