Neel Mishra
+91-9723095555 |GitHub |
mishraneel99@gmail.com |
LinkedIn |
Leetcode |
Experience Tekion
Bangalore, Karnataka
Data Scientist July 2023 - Present
&bull; Finetuned open-source LLM models tinyLlama, Llama2, and Zephyr for next email generation, reducing
execution time by 98.08% using paged attention and post-training quantization.
&bull; Validated superior performance of fine-tuned LLMs by conducting advance statistical analysis; achieved21%
higher similarity and35% increased relevance in generated emails
&bull; Constructed a robust RAG question-answering chatbot for vehicular marketing, processing data for 800+ cars
using Langchain and advanced features.
&bull; Streamlined a pipeline to categorize and clean a 16K email dataset, cutting down execution time by 91.7%
using multithreading, clustering, and semantic similarities.
&bull; Engineered a RASAintent classification bot, curating a dataset of 170,000 data points and achieving 96.5%
validation accuracy .
IIIT Hyderabad Hyderabad, Telangana
Thesis - Applied Numerical Optimization in Deep Learning August 2020 - November 2023 &bull;Collaborated with Principal Applied Scientists fromMicrosoft India on developing a minimax optimizer for
GANs, achieving top inception scores and cutting execution time to 0.184 seconds .
&bull; Implemented GPU-compatible PyTorch solvers for Conjugate and BI-Conjugate Gradient methods, achieving over
96% runtime reduction compared to numpy&rsquo;s standard implementations.
&bull; Designed a classical minimization solver, enhancing accuracy by up to 2%compared to benchmarks like SGD,
Adam, and RMSProp on models like Resnet 50, DLA, and VGG.
Education International Institute of Information Technology
Hyderabad, Telangana
Master of Science by Research in Computer Science, 9.00/10August 2020 - November 2023
Gujarat Technological University Ahmedabad, Gujarat
Bachelor of Engineering in Computer Science, 9.11/10.0 June 2016 - May 2020
Publications Angle based learning rate for gradient descent
,Neel Mishra , Pawan Kumar, International Joint Conference on
Neural Networks (IJCNN 2023, Rank A)link A Gauss-Newton Approach for Min-Max Optimization in GANs
,Neel Mishra , Pawan Kumar, Bamdev Mishra,
Pratik Jawanapuria, World Congress on Computational Intel ligence (WCCI 2024, Rank A)
Projects &bull;
Led a team of four to implement MAP approach for motion deblurring. Utilized gradient descent for blur filter
estimation and patch stitching for complete ob ject images.[ Link ]
&bull; Developed a recommendation system using matrix factorization, custom loss formulation for latent factor estimation,
and L2 regularization to counter overfitting.[ Link ]
Research Grants Awards &bull;
Microsoft Academic Partnership Grant (MAPG).
&bull; IIIT &rsquo;s Innovation Hub for Data Banks, Data Services, and Data Analytics (IHub-Data)research grant.
Technical Skills Statistical Methods
: Inferential Statistics, Probability Distributions, Confidence Intervals, p-value Analysis,
Hypothesis testing, Regression Analysis, Correlation Analysis
Machine Learning : Linear/Logistics Regression, Random Forests, Gradient Boosting, XGBoost, Bagging, SVM, Lasso
and Ridge and other regularization, Clustering
LLM : Finetuning, Quantization, Evaluation, Deployment
RAG : Langchain, LlamaIndex, RASA
Data Analytics : Data Mining, Data Integration, Web Scraping, SQL
Languages and tools : Python, Git, Linux, VS Code
Libraries and Frameworks : PyTorch, TensorFlow, langchain, llama-index, scikit-learn, pandas, numpy