Harshit Sharma Email & Phone Number

Boston, MA, US

Sunnyvale, CA, US

Sunnyvale, CA, US

• Project: Conversational Interface Microservice / AB Testing of LLM Vendors
• Developed synchronous and streaming REST endpoints in a Langchain and FastAPI based CI Microservice integrating third party LLM vendor including memory functionality and feedback mechanism.
• Conducted statistical hypothesis testing for A/B testing of different LLM vendors and created a dashboard to present comparative results to business stakeholders.Project: Anomaly Detection from Logs
• Implemented an ensemble of Masked Language Model (RoBerta) and Graph Convolution Network augmented LSTM to identify anomalies from logs. Trained models from scratch on custom data.
• Deployed model with optimized inference (ONNX and quantization) using HuggingFace Inference Endpoints.
• Hosted Streamlit and flask based application on EC2 to incorporate feedback from domain experts.

Sunnyvale, CA, US

Amsterdam, Noord-Holland, NL

Boston, Massachusetts, US

Course: Natural Language Processing (CS 4120) under Prof. Felix MuznyGrading assignments and aiding students in topics: Probabilistic language modeling, Text classification with language models, Text classification with single layer neural networks, Vector semantics & word embedding, Part-of-speech tagging, Viterbi algorithm, Interactive dialog agents.

Boston, Massachusetts, US

Course: Artificial Intelligence (CS 4100)

Mumbai, Maharashtra, IN

• Project: Geographical Address Matching
• Created geographical address similarity algorithm using CNN-BiLSTM-CRF model.
• Devised an improved textrepresentation technique for capturing semantic characteristics of addresses by combining context dependent and independent embeddings (Word2vec, FastText and Elmo).
• Architected a data driven framework to profile millions of addresses using information theory and regularexpressions. The framework enabled automated generation of realistic training samples for powering.
• Currently utilised by some of the largest financial institutions of India for KYC &due-diligence purposes.Project: Named Entity Recognition from Legal documents
• Implemented Attention based BiLSTM-CRF model for NER from legal documents.

Chennai, Tamil Nadu, IN

• Used Multi-Label classification model for classifying 120,000 websites into 422 categories.
• Applied BOW model andimproved traditional Tf-Idf approach by incorporating class-frequency.
• Modified mathematical formulation ofComplement Naive Bayes to handle faults of algorithmic assumption.
• Reduced impact of redundant features andapplied text-length normalizations, leading to a classification accuracy of 93%

Master'S Degree, Data Science

Graduate Course, Deep Learning

Bachelor'S Degree

High School