Summary
Overview
Work History
Education
Skills
Awards
Timeline
Generic

TV Dhamodhar

Bangalore,Karnataka

Summary

Seasoned professional with 8 years of experience in the software industry, specializing in Machine Learning and Data Science for the past 7 years. Proven track record of delivering innovative solutions and driving business outcomes through advanced data analysis and predictive modeling. Strong expertise in Python, TensorFlow, and Generative AI with a deep understanding of statistical methods and machine learning algorithms. Skilled in translating complex technical concepts into actionable insights for stakeholders

Overview

8
8
years of professional experience

Work History

AI/ML LEAD

SynechronTechnologies
12.2022 - Current
  • Working for projects in R&D team for their customer services ,financial services and investment firms to improve the business and meet client needs
  • Works for client use cases like legacy code migration from cobol and automating SDLC life cycle using gen AI which in turn reduced the migration time almost by half and reduced majority of the human intervention
  • Builds generative AI apps,chatbots and prepare prototypes as a part of client requirements using large language model frameworks like langchain,llama index
  • Worked with models like GPT-3.5 turbo flan T5 as a part of implementation
  • Worked on business use cases like improving customer satisfaction ,tech support by leveraging large language models like GPT-3.5 turbo,flan T5,gptneo
  • Finetunes and will train the model using LORA techniques as per client requirements
  • Builds webapps and write API's as per requirements using flask
  • Tools used:pycharm,vs code,openAI API,Azure Open AI
  • Frameworks used:langchain,flask for building webapps
  • Vector databases:pinecone,FAISS,chroma,qdrant
  • versioning control:GITlab,github

MACHINE LEARNING ENGINEER

Wipro AI
08.2021 - 12.2022
  • Working as a machine learning engineer for one of the biggest Telecom client for their app store as NLP use case improved their manual app tagging experience using machine learning by 50 percent time with
  • used various explainable tools to demonstrate the blackbox models to client using SHAP,LIME
  • frameworks andtools:-pytorch
  • involved in developing pipelines and configurations related to it workedwith variousmultilingual modelslikembert,xlmroberta,LABSE and finetuned themforourtask
  • helped in accelerating inference time using various frame works like onnx,tensor RT
  • worked in pushing pipelines to GIT and production and monitored using ML ops tools like mlflow
  • provided support to almost 44 languages and gave the support to south-east asian countries app store users
  • works on helping client to categorize the data using various clustering techniques bylearning the patterns
  • Works with client on POC's for integrated document processing for OCR,image preprocessing,image classification(with pretrained models) and with tools like tesseract,paddle OCR,open CV and reduced the client manual document processing by almost half
  • worked along side with client for creating components in their own MLops tool and designing a workflow forleading client requirement and finally deploying them in CD pipeline
  • Tools used:-MLOPS tools,libraries:-open CV,cloud:-AWS,Azure form recognizer for text extraction,DVC
  • worked with client for tasks like named entity recognition and topic modelling using libraries like spacy,NLTK,top2vec,bert topic and LDA
  • libraries:-spacy,NLTK,gensim
  • worked in developing pyspark scripts for data extraction

ASSOCIATE CONSULTANT

capgemini
12.2019 - 07.2021
  • Built machine learning models for client to find the SPAR for their invoice vendors
  • Decreased their manual effort by almost half and accelerated the tagging process using Machine learning
  • Used Random Forest algorithm for classification and used hyper parameter tuning for achieving results.
  • Worked as data analyst for few tasks and prepared dash boards using tableau and other visualization tools

JUNIOR DATA SCIENTIST

Flashcash
02.2019 - 11.2019
  • Built an email classifier API which integrated to their mail system and solved the problem of avoiding un wanted mails into employees inbox
  • Built a chatbot as a part of POC for the website using IBM watson and google dialog flow and helped the client to make smooth er conservations with the customers and solve their problems
  • Worked asa data analyst keeping SQLasmain in extraction and manipulating beforeloading
  • Helped onsite client data scientists in image processing techniques mainly using C++ libraries

SOFTWARE ENGINEER

TechMahindra
08.2016 - 02.2019
  • Developed few POC's and mainly involved in analysis using various tools Developed KPI reports for the client using python as a part of POC
  • Solved and developed few dash boards using python and tableau

Education

BTECH IN ELECTRONICS AND COMMUNICATION ENGINEERING -

GITAM University
Bangalore, Karnataka
04.2016

Skills

  • Python
  • C
  • Pyspark
  • Machine learning
  • Deep learning
  • Natural Language Processing
  • ML OPS
  • Jenkins
  • GIT
  • Data visualization
  • Graph
  • Large language Modelling
  • Langchain
  • Llama index
  • Data Structures
  • Quantum computing(qskit frame work)

Awards

  • Bestteam, 03/01/22, Recognized as bestteam for two consecutive quarters client
  • Hackathon, 01/01/23, Recognized as top ideas for the synehackathon across the organization
  • Hackathon first level

Timeline

AI/ML LEAD

SynechronTechnologies
12.2022 - Current

MACHINE LEARNING ENGINEER

Wipro AI
08.2021 - 12.2022

ASSOCIATE CONSULTANT

capgemini
12.2019 - 07.2021

JUNIOR DATA SCIENTIST

Flashcash
02.2019 - 11.2019

SOFTWARE ENGINEER

TechMahindra
08.2016 - 02.2019

BTECH IN ELECTRONICS AND COMMUNICATION ENGINEERING -

GITAM University
TV Dhamodhar