---
title: "Ankita Naik - AI/ML Engineer in Hyderabad | Tal"
description: "Meet Ankita Naik, AI/ML Engineer | Computer Vision | LLM & RAG | Agentic AI based in Hyderabad. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/ankita-naik-2/share-image"
---

# Ankita Naik on Tal

## Headline

AI/ML Engineer \| Computer Vision \| LLM & RAG \| Agentic AI

## About

An AI Engineer with expertise in designing, developing, and deploying advanced machine learning and deep learning models across edge and cloud environments, with a strong focus on computer vision and time\-series applications\. Collaborates closely with cross\-functional teams to translate project requirements into scalable, production\-grade AI solutions aligned with business objectives\. Experienced in building end\-to\-end ML pipelines and implementing state\-of\-the\-art models including YOLO\-based object detection, Vision Transformers, LSTM forecasting, and transformer\-based GenAI architectures, with an emphasis on performance optimization and real\-world deployment\.

## Location

Hyderabad

## AI stack

claude code

claude

codex

deepseek

gemini

github copilot

## Work experience

AI/ML Engineer at Recykal\.com, Sep 2024 \- Present · 2 yrs 3 mos, Hyderabad, Telangana, India, Trained and deployed computer vision models for real\-time recycling material classification on NVIDIA Jetson edge hardware, optimized via TensorRT FP16\. Built a production safety system using real\-time computer vision to prevent equipment\-related injuries\. Built a RAG\-based agentic system for automated document intelligence, using LangChain and live re\-indexing\. Built an image\-similarity based brand recognition system enabling new brand onboarding without model retraining, running on edge hardware\. Built a computer vision\-based plastic resin sub\-type classifier \(HDPE/LDPE/PP; \~99\.7% accuracy, F1 > 98%\) with <100 ms end\-to\-end inference via TensorRT FP16, and resolved critical deployment bugs including unsafe positional TensorRT output bindings\.

Researcher at Centre of Excellence, SGGS&IT, Jul 2023 \- Jan 2024 · 7 mos, Collaborated with PhD scholars on biomedical deep learning research, implementing segmentation and detection pipelines for medical imaging\. Co\-authored the RFMiD 2\.0 dataset publication in MDPI Data, now used globally as a benchmark for retinal disease AI

Summer Internship at Texas Instruments, Feb 2021 \- Aug 2021 · 7 mos, Karnataka, India, Projects Research on Interfacing HC\-05 Bluetooth Module with MSP430 Launchpad

## Education

Master of Technology \- MTech, Artificial Intelligence, Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded

Bachelor of Technology \- BTech, Electronics and Telecommunications, Dr\. Babasaheb Ambedkar Technological University

[View the original profile](https://tal.club/meet/ankita-naik-2)

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