Hrishikesh K. — Data Scientist

Hii, -I have completed my B.Tech in Mechanical Engg. and M.Tech in Robotics with specialisation in AI from IIT Madras in 2023 and currently working as a Data Scientist at Mastercard AI Garage with around 2.5+ years of full-time and 1 year of Internship experience in the data science field. -My professional journey has been driven by a deep passion for data science with expertise in the Natural Language Processing (NLP ) side and also have relevant experience working with the whole product side service incorporating ML models. - I have experience in projects around Named Entity recognition (NER), Retrieval Augmented Generation(RAG), Text-based Search (Vector/Embedding search), Reranking, Recommendation Engine etc, and also have extensive coding skills solving 1000+ DSA questions and having a rating of 1750+ in leetcode contests. -During my academic tenure, I had internships with renowned companies like KPIT, NVIDIA, and Tata elxsi equipped me with hands-on experience in data science. I firmly believe that continuous learning is the cornerstone of success in our rapidly evolving tech landscape. As a lifelong learner, I relish taking on fresh challenges and exploring untapped opportunities within the artificial intelligence domain. If you'd like to connect, collaborate, or discuss exciting AI initiatives, feel free to reach out to me at my email. Email: hrishikeshkambale78@gmail.com

Stackforce AI infers this person is a Data Scientist specializing in Natural Language Processing and Machine Learning for SaaS and Healthcare industries.

Location: Mumbai, Maharashtra, India

Experience: 6 yrs

Skills

Data Science
Machine Learning
Natural Language Processing (nlp)
Algorithms
Deep Learning
Robotics
Research

Career Highlights

Expertise in Natural Language Processing and Machine Learning.
Proven track record of improving product accuracy by 70%.
Hands-on experience with leading AI technologies and frameworks.

Work Experience

Mastercard AI Garage

Data Scientist (1 yr 7 mos)

Javis

Machine Learning Engineer (NLP) (1 yr 4 mos)

Indian Institute of Technology, Madras

Teaching Assistant for Algorithms in Computation Geometry Course (ED5310) (3 mos)

Masters Thesis (10 mos)

KPIT

Machine Learning Intern (2 mos)

Fleek

Data Scientist (1 mo)

NVIDIA

Research Intern | RAPIDS.AI (3 mos)

Tata Elxsi

Deep Learning Intern | NLP (2 mos)

Centre For Innovation (CFI)

Project Member at Sahaay Club (1 yr 3 mos)

Ibots Club Coordinator, CFI (1 yr)

Nirmaan IITM

Co-Founder of Startup -Feel Safe (1 yr)

Education

Master of Technology - MTech at Indian Institute of Technology, Madras

Bachelor of Technology - BTech at Indian Institute of Technology, Madras

at Kendriya Vidyalaya

Hrishikesh K.

Data Scientist

Mumbai, Maharashtra, India6 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expertise in Natural Language Processing and Machine Learning.
Proven track record of improving product accuracy by 70%.
Hands-on experience with leading AI technologies and frameworks.

Stackforce AI infers this person is a Data Scientist specializing in Natural Language Processing and Machine Learning for SaaS and Healthcare industries.

Contact

hrishikeshkambale78@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine LearningNatural Language Processing (nlp)AlgorithmsDeep LearningRoboticsResearch

Other Skills

AndroidAndroid StudioArduino IDEAutoCADAutodesk Fusion 360Autodesk TinkercadAwsBERTC++Computer visionComputer-Aided Design (CAD)Convex HullConvolutional Neural Networks (CNN)CupyData Extraction

About

Experience

6 yrs

Total Experience

1 yr

Average Tenure

1 yr 7 mos

Current Experience

Mastercard ai garage

Data Scientist

Nov 2024 – Present · 1 yr 7 mos · Gurugram, Haryana, India · Hybrid

ResearchProduct InnovationLLM SafetyFraud DetectionData ScienceMachine Learning

Javis

Machine Learning Engineer (NLP)

Jun 2023 – Oct 2024 · 1 yr 4 mos · Bengaluru, Karnataka, India · Remote

Field of Work:
1. Built the whole search module for RAG-based WhatsApp chatbot for Javis using fuzzy and semantic search, fine-tuning entity search model (all-miniLM-L6-V2) on synthetically generated data using contrastive learning.
2. Improved Javis's pharmaceutical product matching service accuracy by 70%, deployed on AWS Lambda currently used by clients like Alkem and Dr. Reddys.
3. Fine-tuned cross-encoder based msmarco-minilm-L6 reranking model on synthetic pharma data and built custom multihead model with 5 classifier heads for AI-based validation for pharma item matching.
4. Worked deeply on the data generation side both algorithmic generation and prompting LLMs to generate high-quality data for finetuning search and reranking models.

Retrieval Augmented Generation(RAG)LLMRerankingDeep LearningGitAws+4

Indian institute of technology, madras

2 roles

Teaching Assistant for Algorithms in Computation Geometry Course (ED5310)

Feb 2023 – May 2023 · 3 mos · Chennai, Tamil Nadu, India

Convex HullPython (Programming Language)AlgorithmsVoronoi DiagramData Science

Masters Thesis

Jul 2022 – May 2023 · 10 mos · Chennai, Tamil Nadu, India

Title : Grasp prediction for robotic manipulator using deep learning
Prof: M Ramanathan, Dept. of Engineering Design

Deep LearningResearchPyTorchRobot VisionRobotics

Kpit

Machine Learning Intern

May 2022 – Jul 2022 · 2 mos · Pune, Maharashtra, India · Remote

Field of Work:
Built ready to Deploy model for Clustering of CICD Pipeline log Files on the basis of Errors and finding Root Cause of Failure on dashboard.
Saved 95% extraction time for 1 million Log files extracted using GitLab API and Multi-Threading and used Regex to preprocess data.
Implemented BERT and TFIDF embedding models and used clustering algorithms like k-means and HDBSCAN to cluster log files.

Machine LearningGitlabNatural Language Processing (NLP)Data Science

Fleek

Data Scientist

Dec 2021 – Jan 2022 · 1 mo · Bengaluru, Karnataka, India · Remote

Field of work:
1. Extracted and analyzed thousands of users data generated via Fleek App, stored in AWS S3 buckets.
2. Performed Semi-Supervised Learning approach using BERT/Roberta models to label thousands of Emails to build labeled data for ML pipeline.
3. Wrote 100s of Regex patterns to extract important data from Transaction/Bank SMS of Fleek's users.
4. Experimented with spacy and Flair libraries to built NER model for Transaction messages data of Fleek users to extract important entities like payment method, amount, merchant etc from the messages.
5. Debugged dashboard code to solve some issues regarding updation/generation of data.

spaCyData ExtractionNLPPython (Programming Language)RegexNatural Language Processing (NLP)+1

Nvidia

Research Intern | RAPIDS.AI

May 2021 – Aug 2021 · 3 mos · Bengaluru, Karnataka, India · Remote

Field of Work:
1. Implemented NVIDIA RAPIDS (GPU-Accelerated Data Science) library for various client oriented tasks.
2. Work included Code profiling for cupy /numpy , finding bottlenecks and running benchmarks for CuML Algorithms.
3.Assessed in conducting various NVIDIA DLI Workshops through out country's top IITs, NITs colleges in online mode.

CupyRapidsPython (Programming Language)Data ScienceResearch

Tata elxsi

Deep Learning Intern | NLP

May 2021 – Jul 2021 · 2 mos · Bengaluru, Karnataka, India · Remote

Field of work:
1. Independently worked on an end to end project on Named Entity Recognition and Relation Extraction System for clinical domain Data.
2. Built separate custom DL models using Tensorflow and Keras for NER task as well as Joint NER+RE task.
3 Experimented SOTA model like BERT and Attention Mechanisms to improve performance of custom model.

BERTTensorFlowDeep Neural Networks (DNN)ResearchNatural Language Processing (NLP)Deep Learning

Centre for innovation (cfi)

2 roles

Project Member at Sahaay Club

Feb 2020 – May 2021 · 1 yr 3 mos

Ibots Club Coordinator, CFI

May 2019 – May 2020 · 1 yr

Managed Robotics club of our college and conducted various workshops and events of the club for crowd over 200+ students.

Nirmaan iitm

Co-Founder of Startup -Feel Safe

Feb 2020 – Feb 2021 · 1 yr · Greater Chennai Area

Upcoming startup of an IOT based security device( aka Feel Safe) for alerting about danger conditions modulated by app on the mobile and Speech recognition system for quick response.