---
title: "Dipak Gupta - Senior AI/ML Engineer in Noida | Tal"
description: "Meet Dipak Gupta, Sr. AI/ML Engineer || Agentic AI || Voice Bot || Chat Bot || Data science || PHP based in Noida."
image: "https://tal.club/meet/dipak-gupta/share-image"
---

# Dipak Gupta on Tal

## Headline

Sr\. AI/ML Engineer \|\| Agentic AI \|\| Voice Bot \|\| Chat Bot \|\| Data science \|\| PHP

## About

Vision IAS leverages advanced AI systems to empower UPSC aspirants through innovative tools such as an AI\-powered mock interview platform\. This project integrates dynamic question generation and feedback systems using Python, GPT\-4, and ChromaDB, improving student preparation\. Designed speech\-to\-text and text\-to\-speech features using React, enabling intuitive interactions\. Graduated with a BE in ECE from Maharshi Dayanand University, their work reflects a strong foundation in engineering principles applied to AI and education\. Motivated by a passion for streamlining student support, they contribute to building scalable AI solutions that enhance user experiences while reducing operational inefficiencies\.

## Location

Noida

## Work experience

Senior AI/ML Engineer at University Living, Nov 2025 \- Present · 8 mos, Noida, Uttar Pradesh, India, 1\. AI\-Powered Sales Calling Bot for Student Abroad Services Objective: To build an end\-to\-end AI\-driven outbound calling system that automatically connects with student leads, understands their requirements, and provides accurate responses regarding accommodation, flights, and other overseas support services\. Achievements: Designed and developed a fully automated AI voice agent capable of natural, human\-like conversations\. Implemented real\-time speech\-to\-text and text\-to\-speech pipelines enabling smooth two\-way communication\. Integrated dynamic conversation flows to answer student queries about accommodations, flight options, and documentation support\. Reduced manual calling effort by 70% by automating initial lead qualification\. Improved lead engagement and conversion rate by identifying students with genuine interest before passing them to the staff\. Tech Stack: Python, FastAPI, WebSockets, Redis, GPT\-based LLM, Speech\-to\-Text \(Whisper/Deepgram\), Text\-to\-Speech \(ElevenLabs/Google TTS\), Twilio, Exotel, Postgress DB, Docker, Cloud Deployment \(AWS\), Streamlit, Audio Model \(openai / eleven Lab\) 2: Call Conversation Analysis &amp; Lead Scoring System Objective: To create an automated system that analyzes recorded AI calls and identifies which leads show positive intent, helping the sales team prioritize high\-quality prospects\. Achievements: ● Built a conversation analytics engine to evaluate intent, sentiment, clarity of requirements, and conversion probability\. ● Developed a scoring model that categorizes calls as positive, neutral, or negative based on predefined business metrics\. ● Automated daily lead scoring, enabling the team to focus on high\-intent students only\. ● Improved follow\-up efficiency and reduced staff workload by 50%\. ● Provided structured call summary and recommended next actions for each lead\. Tech Stack: Python, GPT/LLM\-based Analysis, DeepInfra for audio to text, Sentiment Analysis, FastAPI, PostgreSQL/MySQL, Docker, SQLite3 for Queue

AI Engineer at Vision IAS, Mar 2022 \- Feb 2026 · 4 yrs, Noida, Uttar Pradesh, India, AI\-Powered Mock Interview System for UPSC Aspirants Objective : Build a system that simulates a job interview environment, where students can practice and get feedback on their answers performance\. Key Features Question Generation: Dynamically generates interview questions based on academic background, location, current affairs\. Feedback System: Provides detailed feedback on responses, and suggests areas of improvement\. Tech Stack: Python, GPT\-4, ChromaDB, React \(react\-speech\-recognition\) for speech to text convert, also react use for text to speech\. AI Counsellor for Educational Website • Tech Stack: Python, GPT\-4, ChromaDB, NLP, Automation Tools • Objective: Streamline AI\-driven student support while reducing the support team from 5\-7 people to 1\- Developed Large Language Model \(LLM\) from Scratch • Objective: 124 million parameter LLM for versatile text generation\. • Technologies Used: Python, Transformer Architecture, PyTorch\. Fine\-tuning LLM for UPSC\-MCQ Generation • Technologies Used: LLM \(base model\), PEFT, Tokenizer, Hyperparameter, Dataset, prompts • Objective: Reducing Teacher Dependency in Generating UPSC\-Level MCQ • Achievements: Achieved 60% cost reduction and generated over 2000 high\-quality MCQs\. Enhanced relevance and accuracy, level of difficult and quality of generated questions are 80 \-90% \. Estimated time savings of 150\+ hours for question creators\. Question Answering System using RAG and ChromaDB • Objective: Develop a QA system to extract accurate answers from PDF databases\. • Technologies Used: ChromaDB, LangChain, RAG, PDF parsing libraries\. • Achievements: saved 50% of time on manual searches\. Student Performance Prediction • Objective: Develop a system to predict student academic performance based on past grades, attendance, and behavioral data\. • Tech Stack: Regression algorithms \(e\.g\., Linear Regression, Random Forests\), Hyperparameter optimizer\. • Impact: Helps educators identify students who may need additional support\.

Full\-stack Developer \(LAMP\) at Vision IAS, Oct 2020 \- Feb 2022 · 1 yr 5 mos, Delhi, India, • Core PHP and CodeIgniter Framework\. • Designed and implemented a comprehensive student testing feature, enabling students to take assessments, track attempts, and thoroughly analyze their test results for enhanced learning insights\. • Developed and optimized robust code for the admin portal, ensuring seamless query execution and data processing\. • Managed MySQL data processing tasks, implementing advanced query optimization techniques for enhanced system performance remove the JOIN and sub\-query\. • Engineered and maintained high\-performance web applications using PHP, HTML, CSS, JavaScript, and MySQL, Grocery CRUD\. • Optimized data processing from MySQL servers, efficiently managing millions of entries and improving system performance\.

PHP Developer at Zambo Technology, Feb 2019 \- Sep 2020 · 1 yr 8 mos, Lucknow, Uttar Pradesh, India, • Core PHP and Codeigniter Framework\. • Spearheaded secure banking API integrations \(ICICI BANK, RAZORPAY\), revolutionizing transaction processes and fortifying data protection measures\. • Implemented robust security protocols including: o SQL Injection Prevention o CORS \(Cross\-Origin Resource Sharing\) o JWT \(JSON Web Tokens\) authentication o XSS \(Cross\-Site Scripting\) protection o Cross\-Site Request Forgery \(CSRF\) safeguards • Integrated AePS \(Aadhaar Enabled Payment Service\) with Mantra and Morpho devices, expanding payment options and enhancing user accessibility\. • Pioneered the development of cutting\-edge features for financial transactions, showcasing expertise in complex data handling and real\-time processing\.

## Education

Bachelor of Engineering \- BE, ECE, Maharshi Dayanand University Rohtak

[View the original profile](https://tal.club/meet/dipak-gupta)

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