Summary
Overview
Work History
Education
Skills
Accomplishments
Publications & Academic Projects,
Hobbies and Interests
Timeline
Generic

Anil Kumar Reddy

Bangalore

Summary

6.5 Years experienced ML engineer with a double master's degree specializing in natural language processing and computer vision. Expertise lies in leveraging advanced algorithms and techniques to extract meaningful insights from complex data sets. Proven track record of successfully implementing cutting-edge solutions, adept at driving innovation and delivering impactful results.

Overview

6
6
years of professional experience

Work History

Senior Machine Learning Engineer

Auquan
07.2023 - Current
  • End-to-End Model Development and Deployment:Designed, built, and deployed ML models to process 6-8 million documents daily for ESG Risk Compliance (ERC) product.
  • Developed and integrated models for entity extraction, topic extraction, sentiment analysis, theme detection, summarization, noise classification, severity detection, and deduplication at scale.
  • Fine-tuned and deployed GPT-3.5, GPT-4o, and transformer-based models for specialized tasks.
  • Created a custom Retrieval-Augmented Generation (RAG) pipeline to extract factual information from large datasets.
  • Infrastructure and Scalability: Set up scalable infrastructure for vector databases (Qdrant) and engine pipeline, ensuring high performance and reliability.
    Deployed models using Docker and Kubernetes, implementing containerized solutions for production environments.
  • Operational Excellence:Established robust test harnesses to validate models before production deployment, improving reliability and performance.
    Managed on-call engineering responsibilities, ensuring smooth operation and quick resolution of pipeline issues.

Senior NLP Engineer

gnani.ai
01.2022 - 06.2023
  • Company Overview: A Conversational AI company
  • Led a team of 2 to develop Speech-analytics tool to extract the insights from conversations.
  • Developed Aspect Based Sentiment Classification model for Survey analytics pipeline using BERT like model
  • Researched on multilingual translational and transliteration models
  • Optimized the in-house built transliterated model and reduced the latencies 3-6x

Senior AI Engineer

bizAmica
06.2021 - 01.2022
  • Company Overview: A cognitive document processing start-up
  • Designed and developed AI models to extract information from various BFSI documents.
  • Implemented Question Answering and rule based models to extract various KPIs from Annual reports for a global ESG Analytics company.
  • Designed and Implemented job processing engine using Celery, RabbitMQ, Redis and helped scaling the throughput
  • Contact : Rahul Bhanose (CEO) +91 9823368303

Data Science Engineer

Proventeq India
07.2018 - 06.2021
  • Company Overview: U.K based Content migration and digital workplace solutions company
  • Set-up AI infrastructure in the organization and played a key role in adding intelligence to the migration product
  • Content analysis with AI/ML(Auto classification, Information extraction, Clustering)
  • Implemented ROT(Redundant Obsolete Trivial) module by finding the duplicates and near duplicates on both text and image data
  • Implemented PII(personally Identifiable Information) and redacted the information for compliance purpose
  • Contact : Rakesh Chenchery (CTO, Proventeq) +44 7734276426

Education

M.Tech - Computer Science

Sri Satya Sai Institute Of Higher Learning(SSSIHL)
AndhraPradesh
04.2018

MSc & BSc -

Sri Satya Sai Institute Of Higher Learning(SSSIHL)
Karnataka
04.2016

Skills

  • Natural Language Processing
  • Machine Learning
  • Transformers
  • LLMs/GenAI
  • RAG (Retrieval Augmented Generation)
  • PEFT (LoRA)
  • Pytorch
  • SpaCy
  • MongoDB
  • Azure
  • AWS
  • Docker
  • FAISS
  • Qdrant

Accomplishments

  • Best Employee of the quarter, bizAmica, 12/2021 - Present
  • Several MOOC's from Coursera and Udemy
  • Awarded Top Academic Performer (TAP) twice, in the University, 04/2015 - 04/2018
  • Invited presenter for Springer AISC 2018 and ICECA 2018 conferences
  • Participated in student research symposium, IEEE HiPC 2018, Jaipur

Publications & Academic Projects,

Segmentation and Classification of CT Renal images using Deep networks:

 Published in Springer AISC 2018, 06/2017, 04/2018, 

Work is in collaboration with SSSIHMS super specialty hospital. Worked closely with Radiologists to understand the problem and labelling the CT images. Used U-Net like architecture for the segmentation of the kidney from the image and then trained a Convnet to classify it.


Evaluating Training Time of Inception-v3 & Resnet 50,101 Models using TensorFlow across CPU and GPU:

 Presented and published at ICECA(2018), IEEE conference, 08/2017, 09/2017


Design of a Compiler, 08/2015, 02/2016, 

Implemented the Lexer, Syntax and Semantic analyzer of C like compiler. 

Implemented the 3 phases with the best software architecture principles. 

Focused on learning the internals of a programming language.

Hobbies and Interests

  • Reading tech blogs and research papers to keep myself updated.
  • Playing Cricket and Volleyball

Timeline

Senior Machine Learning Engineer

Auquan
07.2023 - Current

Senior NLP Engineer

gnani.ai
01.2022 - 06.2023

Senior AI Engineer

bizAmica
06.2021 - 01.2022

Data Science Engineer

Proventeq India
07.2018 - 06.2021

M.Tech - Computer Science

Sri Satya Sai Institute Of Higher Learning(SSSIHL)

MSc & BSc -

Sri Satya Sai Institute Of Higher Learning(SSSIHL)

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