A

AI Abhijeet L.

AI Researcher

India26 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 3 years of experience in data-driven solutions.
  • Expertise in Generative AI and LLM technologies.
  • Proven track record in deploying scalable ML applications.
Stackforce AI infers this person is a skilled Data Scientist specializing in AI and Machine Learning for Fintech and Healthcare industries.

Contact

Skills

Core Skills

Generative AiMlopsMachine LearningGenaiOcrRecommendation SystemCustomer SegmentationFraud DetectionMarket Basket AnalysisSales ForecastingChurn PredictionCredit Risk ModelingTensorflowMl PipelinesDashboardsSentiment Analysis

Other Skills

AWS BedrockAWS SageMakerAWS SagemakerAirflowAlgorithm AnalysisAlgorithmic TradingAmazon S3Amazon Web Services (AWS)Applied Machine LearningApriori AlgorithmAutonomous AgenticAzureAzure AI VisionAzure MLAzureOpenAI

About

My Journey at Accenture - Full-Time Data Scientist providing data-driven solutions for 3 years across BFSI, Retail, Healthcare (Pharma), Marketing & Logistics industries. - 1.5 year of experience in Generative-AI with Langchain, LLM (Large Language Models), LLM Guardrails, LLM Benchmark, LLM Quantization, LangGraph, Multi-modal, Autonomous Agentic, RAG (Retrieval-Augmented Generation), Vector Databases, Fine-Tuning (PEFT, LoRA), LLMops, AWS Bedrock, Post-Node Processing, Two-Stage Retrieval. - Competitive programming: 6 star on HackerRank. - Solved +1,000 Data Structures and Algorithms Interview questions. - Python (NumPy, Pandas, Scikit-Learn, Seaborn) for Data Processing: Cleaning, Wrangling, Exploratory Data Analysis (EDA), Feature Engineering & Selection, Model Training, Tuning, Evaluation, Validation, and Interpretation. - Experienced with Natural Language Processing using Deep Learning Framework TensorFlow (TFx) on projects involving Word Embedding, Named Entity Recognition, Sequence-to-Sequence Neural Machine Translation (Seq2Seq-NMT), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and Transformer models (BERT, RoBERTa, GPT-3). - π˜—π˜³π˜°π˜§π˜¦π˜΄π˜΄π˜ͺ𝘰𝘯𝘒𝘭 π’‘π’“π’π’…π’–π’„π’•π’Šπ’π’ 𝘱𝘳𝘰𝘫𝘦𝘀𝘡𝘴 π˜ͺ𝘯𝘀𝘭𝘢π˜₯𝘦: - Credit Risk Analytics & Modeling - Recommendation System(Candidate Generation and Ranking Model) - Market Basket Analysis - Customer Segmentation - Customer Churn Modeling - Ad-Tech Marketing Analytics - Transactions Fraud Detection - Credit Scoring & Churn Prediction - Marketing Mix Modeling(MMM) - Bayesian Click-Through Rate Prediction - Formulated Estimated Food-Delivery time prediction with Gradient Boosted Decision Trees for "Just Eat" - Feed-Ranking, Search-Ranking - Optical Character Recognition (OCR) for Retail Invoices w/t Cosine Similarity for information Evalution - Predicting Conversion Rates With Bayesian Statistics - Machine Learning Operations (MLOps) - Self-Driving Car: Image Segmentation for Automobile Giant - Sales Forecasting with LSTM - Anomaly Detection in Network Traffic - Sentence Auto-Completion with LSTM - TensorFlow Pipelines Orchestration with Airflow & CI/CD - Scalable ML Pipelines on AWS SageMaker with CI/CD

Experience

26 yrs 11 mos
Total Experience
15 yrs 2 mos
Average Tenure
26 yrs 11 mos
Current Experience

Confidential

Machine Learning Consultant - Generative AI Data Scientist

Apr 2025 – Present Β· 1 yr 2 mos

  • Enterprise-Product Development Role:
  • Deep Learning Model Deployment for Batch QR Code Processing
  • Built RAG Solution with FAISS and AzureOpenAI and managing AI safety with NVIDIA NeMo Guardrails
  • FastAPI based ML Application for NLP project from Staging to Production Serving Hundreds of Thousands Active Users with MLOps on Azure AI
  • IGNIS Chatbot with Generative AI integration bringing Agentic Platform Excellence
  • Implementation of Traditional Machine Learning to Generative AI solution
  • Built Generative AI based Azure Databricks Code Remediation Agentic solution with SAS Parser Agent, Code Transpilation Agent & Self-Code Healing Agent with Pydantic Model
  • Built an Autonomous API Test Agent with LangGraph and LLM
  • Built Self-Healing Autonomous Data Engineering with Test-AutoGen & CrewAI, Dev-LangGraph and MCP Architecture for Orchestration Intelligence
  • Big Data Engineering, LLMOPS, Deployment & Monitoring
  • Built a Text-SQL AI Agent
  • Azure, Databricks, LangChain, LangGraph, LangSmith, AzureOpenAI, Agentic AI, Python
  • Deployed Virtual Machine Instances to run Azure Solution
  • Advanced Agent Development with LangChain, LangGraph, LangSmith integrating ReAct, ReWoo, Reflection, Tool Use, Planning, and Multi-Agent Patterns for Autonomous and Adaptive Agent Behaviors
Generative AIApplied Machine LearningMLOpsPythonAzureDatabricks+4

Accenture in india

Data Scientist (AI/ML Computational Science Associate)

Nov 2021 – Apr 2025 Β· 3 yrs 5 mos Β· Mumbai Maharashtra India

  • Designed-Developed-Deployed a GenAI bot on Databricks for Bank policies, leveraging Word Embeddings,
  • Fine-tuning, and LLAMA-3.3 70B Instruct for accurate and context-aware policy
  • recommendation with Recursive Chunking
  • Image Analysis with OCR using Azure AI Vision for Intelligent Document Processing (IDP):
  • Extracting Information From PDF & image Documents After Solutions PaddleOCR, Hugging
  • Face Pipelines then Gen AI as ProofReader to fill Data
  • GenAI: An AI agent for form filling using Retrieval-Augmented Generation (RAG) techniques
  • with Flask Backend
  • Recommendation System (Matrix Factorization with SGD): Personalizing email content with sparse data, powering millions of purchases
  • Improved Customer Segmentation using K-Means Clustering and Principal Component Analysis
  • Credit Card Fraud Detection in Financial Transactions(imbalanced data) with AWS MLOPS
  • using Logistic Regression, Decision Trees, Ensemble Learning(Random Forest) along with
  • MLFLOW
  • Market Basket Analysis with Apriori Algorithm and Association Rules
  • Monthly Sales Forecasting with LSTM: Applied LSTM to predict monthly sales of Retail
  • Clients. Data Scientist Managing two AI/ML computational Science Associate
  • BFSI Customer Churn Prediction and MLOPS with Monitoring. Exploratory Data Analysis,
  • Demand Forecasting with Machine Learning for Pharmaceutical Clients. Python Coding
  • Debugging
  • Credit Risk Modeling
  • Orchestrating Tensorflow Pipelines with Airflow with CI/CD Integration and I wrote DAG
  • Built Scalable ML Pipelines on AWS Sagemaker, GCP Vertex, and Azure ML with CI/CD
  • Created interactive dashboards & Exploratory Data Analysis along with Stakeholder
  • Management. Built React.js Dashboard for Fraud from FastAPI + Swagger Endpoints.
  • Advanced SQL queries with optimized extraction & ETL. Operations. Sentiment Analysis of
  • Customer Review with BERT Model.
  • GenAI: An AI agent for form filling using Retrieval-Augmented Generation (RAG) techniques
  • with Flask Backend
Quantitative FinanceWeb ScrapingData AnalysisDjangoPythonTechnical Documentation+15

My life

Life Long Learner

Jul 1999 – Present Β· 26 yrs 11 mos Β· Amravati, Maharashtra, India Β· On-site

  • ⚫Because Life is also nothing but an experience :)
  • ⚫I had overcome many challenges in my life & always got an outstanding amount of learning.
  • ⚫ Extremely Good at Keeping things professional, I never mix my personal life with professional life and tend to behave like nothing happened to give people around me a new start.
  • ⚫ I was not limiting positive thinking, I was lacking in faith which I overcome with time.
  • ⚫Gratitude was, is & will be the best thing I experienced ever.
  • ⚫Many times I found few things to be more than difficult as they seem to be with absolutely no hope ahead, but the divine universe served me a lot because I never give up.
  • ⚫Ups & Downs were part of my life and dealing with them is an art of my life.
  • ⚫Having +25 years of experience in My life the best thing I ever experienced was β€œBe happy today for no reason Tomorrow happiness will come with so many reasons”
  • ⚫Promoted to Hopeaholic in this lifelong career and which had optimized my life beyond my imagination.
  • ⚫ I have successfully Implemented Growth Mindset, Adept, Positive thinking.
  • ⚫ Blessings Counting Champion
  • ⚫ This experience is all up to My own interpretation :)
Quantitative FinanceWeb ScrapingData AnalysisDjangoPythonTechnical Documentation+15

Education

WorldQuant University

Master of Science in Financial Engineering β€” Algotrading - PART TIME

Jan 2025 – Jan 2027

Sant Gadge Baba Amravati University, Amravati

Bachelor of Engineering

Jul 2017 – Aug 2021

Maharashtra State Board of Secondary and Higher Secondary Education (MSBSHSE)

Higher Secondary School Certificate (12th) β€” General Science

Jul 2015 – Jun 2017

Maharashtra State Board of Secondary and Higher Secondary Education (MSBSHSE)

Secondary School Certificate β€” 10TH Standard

Jun 2002 – Jun 2015

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