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Ankita Naik profile photo 2 on Tal
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Ankita Naik

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

Hyderabad

3+ years of work experience

Recykal.com
Sep 20242 yrs 3 mosPresent

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.
Jul 20237 mosJan 2024

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
Texas Instruments
Feb 20217 mosAug 2021

Karnataka, India

Projects Research on Interfacing HC-05 Bluetooth Module with MSP430 Launchpad

Ankita’s AI Stack

claude code
claude code
claude
claude
codex
codex
deepseek
deepseek
gemini
gemini
github copilot
github copilot

Education

Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded

Master of Technology - MTech, Artificial Intelligence

Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded

20212 yrs2023
Dr. Babasaheb Ambedkar Technological University

Bachelor of Technology - BTech, Electronics and Telecommunications

Dr. Babasaheb Ambedkar Technological University

20183 yrs2021

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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

Ankita Naik - AI/ML Engineer in Hyderabad | Tal