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Tushar Sharma

Tushar Sharma

ML Engineer

Dabra
85
Profile Score

About

ML Engineer with hands-on experience building multimodal vision pipelines, LLM applications, and end-to-end data systems. Proficient in Python, PyTorch, and transformer-based architectures — including Grounding DINO, Grounded-SAM, and YOLO — for real-world vision understanding tasks. Experienced in fine-tuning and deploying models via Hugging Face, building large-scale ETL pipelines on AWS, and translating unstructured visual and sensor data into structured, production-ready outputs. Strong focus on code quality, evaluation rigour, and building systems that work under real-world constraints.

Skills & Expertise (51)

PyTorch Advanced
8.2/10
3
Years Exp
Hugging Face Advanced
8.0/10
3
Years Exp
Transformers Advanced
8.0/10
3
Years Exp
Deep Learning Advanced
8.0/10
3
Years Exp
NLP Advanced
8.0/10
3
Years Exp
MySql CSS Postgresql Alteryx Snowflake Hadoop Spark SQL Optimisation Kafka ETL Pipelines REST APIs Firewall System Oracle MongoDb AWS EC2 S3 VPC Azure Power BI Matplotlib Seaborn Git Time Series Analysis PEFT Supervised Learning Unsupervised Learning LLMs Generative AI GANs Prompt Engineering Computer Vision YOLO scikit-learn Feature Engineering HTML EDA Python Pandas NumPy Django Flask Java C/C++ JavaScript SQL

Work Experience

RPA Developer Intern

UiPath

Sep 2023 - Nov 2023

Designed automated RPA workflows, increasing processing throughput by 80% and reducing manual intervention.

Java Developer Intern

Affy Informatics

Sep 2021 - Jan 2022

Developed 10+ custom GUI components using Java Swing, streamlining data input workflows and improving average user productivity by 50%.

Cloud Architect Intern

AWS Academy

May 2023 - Jul 2023

Architected AWS cloud solutions (EC2, S3, VPC) and optimised storage retrieval, reducing infrastructure costs by 15%.

Data Analyst / ML Engineer Intern

Klimashift

Jan 2026 - Present

Built an end-to-end multimodal visual intelligence pipeline using PyTorch, YOLO, Grounding DINO, and Grounded-SAM to automatically detect, segment, and catalogue commercial electrical equipment from raw image frames — eliminating manual inventory effort and enabling structured output extraction at scale. Designed and deployed a Non-Intrusive Load Monitoring (NILM) machine learning model for energy disaggregation; engineered robust ETL pipelines to extract, clean, and transform large-scale time-series datasets hosted on AWS, with automated quality assurance and regression tracking. Engineered a data-driven sanctioned load calculator using Python and PostgreSQL to process minute-level power telemetry, computing Maximum Demand Indicators and empirical demand factors to optimise commercial client load recommendations by up to 40%. Translated complex energy datasets and regional equipment profiles into comprehensive technical reports, directly supporting client decision-making on cost-saving electrical strategies.

Data Analytics Intern

Alteryx Sparked

Dec 2022 - Feb 2023

Automated end-to-end data pipelines using Alteryx and built interactive dashboards, cutting processing time from multiple days to under 1 hour.

Teaching Assistant

ABV IIITM

Aug 2024 - Jan 2026

Conducted lab sessions and tutorials for over 100 students across data structures and algorithms courses; designed assessments and provided structured academic support.

Education

M.Tech, IT (Wireless Network and Computing) - IIIT Gwalior

2024 - · Afghanistan

B.Tech, CSE (Data Science & Machine Learning) - ITM University

2020 - 2024 · Afghanistan

Certifications

Process Mining

Celonis · 2024

AWS Cloud Architect

AWS Acedemy · 2023

Data Analytics

Alteryx · 2023

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 5/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 85/100

Profile Overview

Member sinceApr 2026