About Me

🎓 I graduated with a master's degree in Computer Science (specialization in ML/AI) from the University at Buffalo, with a GPA of 3.92/4.0

💻 I have 2 years of industry experience as a Software Engineer (Machine Learning) at Persistent Systems, working on Python, Java, ML models, REST APIs, and scalable cloud solutions.

🧑‍🔬 My projects and research span Machine Learning, Natural Language Processing, Deep Learning, LLMs, PEFT-LoRA and Generative AI.

⚡ I am a quick learner and enjoy exploring new domains within evolving technologies.

📅 I am actively seeking opportunities to contribute in Software Development (SDE), Data Science, and Machine Learning!.

📫 Let’s connect! Reach me at iamshraddhashekhar@gmail.com or check out my LinkedIn.

Skills

Languages: Python, R, Java, SQL, NoSQL, C++, JavaScript

Databases: MySQL, PostgreSQL, MongoDB, MicrosoftSQL

Cloud: AWS EC2, AWS S3, AWS RDS, GCP, Elasticsearch, Kafka, PySpark

Machine Learning: PyTorch, Tensorflow, HuggingFace, Scikit-Learn, OpenAI, Transformers, LLMs, PEFT-LoRA, CNN, OpenCV

Tools/Technologies: Power BI, Tableau, PowerQuery, REST API, Git, Docker, Postman, Agile, Scrum

Timeline

2024 Jan

Research Assistant

University at Buffalo

Research in NLP, LLMs, PEFT - LoRA.

2023 Jan

Graduate Teaching Assistant

University at Buffalo

Educating students and evaluating assignments/projects.
CSE 4/546: Reinforcement Learning (Spring 2023)
CSE 4/574: Machine Learning (Summer 2023, Fall 2023)

2022 Aug

Master's in Computer Science and Engineering

University at Buffalo

GPA: 3.92/4

Specializations: ML, NLP, Reinforcement Learning, Information Retrieval, Distributed Systems, PyTorch, TensorFlow

2021 May

Software Development Engineer

Persistent Systems

Collaborated on a government project for website traffic analysis and designed a simulated environment, mitigating threats by 20%.
Technologies: Python, Dask, Elasticsearch, Linux, Wazuh, Java

2020 Dec

Data Science and Python Intern

Verzeo

Data Preprocessing, Feature engineering and visualizing the analyzed insight after training models.
Technologies used: Dash, Sklearn, pandas, matplotlib, seaborn

2020 Mar

Web Development Intern

The Digital Tantra

Designed and developed a brand-new website for the company.

2017

Bachelor's in Computer Engineering

Savitribai Phule Pune University

GPA: 9.32/10 (3.95/4 WES)

Beginning of an exciting journey in programming.

Projects

Deep Learning
- Empathetic Chatbot
  
  Generative chatbot capable of topic-specific and chit-chat responses. Leveraging the capabilities of LLMs such as GPT-2, RoBERTa by fine-tuning them for the custom data along with embedding emotions to the responses.
  
  LLMs
  
  GPT2, RoBerta
  
  GCP
  
  Reddit API
- Finetuning LLMs for Asset Classification
  
  Finetuned LLMs using LoRA-PEFT, BERT and finBERT to classify text data into assest categories and predict sentiment. Finetuned T5 flan for target detection.
  
  Finetune LLMs using LoRA-PEFT
  
  BERT, T5-flan
  
  Pytorch, Transformers
- Natural Language to SQL
  
  Convret a natural language sentence to SQL query. Achieved 83% accuracy in fetching correct results for the generated queries.
  
  NLP, word2vec
  
  LSTM, tensorflow
  
  MySQL
- Reinforcement Learning
  
  Solved multi-agent environment.
  
  Deep Q Learning
  
  Actor Critic
  
  Q-Learning, SARSA
- Visualizing RL algorithms
  
  Interactive & Responsive Web Application to facilitate students in understanding working of complex algorithms.
  
  RL, Flask
  
  Actor Critic
  
  DQN, DDQN
Machine Learning
- Restaurant Ratings Predictor
  
  Web App to predict restaurant ratings on factors like, location, cuisine, price for 2 and more. helping restaurrant owners make data-driven decisions.
  
  Random Forest Regression
  
  Linear Regression
  
  XGBoost
Distributed Systems
- Distributed Key-Value Storage
  
  Developing fault-tolerant distributed key-value storage utilizing Raft Consensus algorithm.
  
  gRPC, GoLang
  
  Map Reduce
  
  Consensus in Leader election for distributed replication