Lalit Shekhar
@lalitshekhar
Junior AI Engineer using machine learning to optimize data pipelines and real-time KPIs.
IndiaWhat I'm looking for
I’m a Junior AI Engineer and Data Analyst focused on data-driven process improvement, turning complex datasets into clear insights and operational impact. I’ve built real-time KPI dashboards and streamlined analytics workflows to support data-driven decision making.
In AI + automation, I optimized ETL pipelines and reduced data preparation time by 30% through automated ETL pipelines. I also delivered strong computer vision results, achieving 98% pose estimation accuracy using deep learning techniques, and reduced manual inventory errors by 85% with an OpenCV-based automation system.
Through applied AI, I implemented an AI-based Smart CCTV safety system that improved workplace safety by 76%. I also engineered production-oriented backend features, including a secure E-Sign integration that resulted in an 86% faster claims approval process (Insurance Claims module) at Regen AI.
My work blends Python, SQL, and modern ML/Cloud tools (AWS, serverless, and visualization platforms) with a practical focus on reliability, performance, and usability. I’m ready to contribute effective data analysis and storytelling to help teams move faster with measurable outcomes.
Experience
Work history, roles, and key accomplishments
Backend Developer Associate
Regen AI
Feb 2026 - Mar 2026 (1 month)
Engineered a secure E-Sign integration for the Insurance Claims module, improving the claims approval process by 86%. Also developed an admin profile image upload system, added English-to-Spanish localization, and optimized backend API endpoints for new document features.
Python Developer Intern
ConfideoIT Services
Aug 2025 - Nov 2025 (3 months)
Enhanced Python-based backend logic for chatbot workflows using AWS Lex, Amazon Bedrock, Lambda, S3, and DynamoDB. Contributed to a Django-based Document Management System (IDMS) by implementing APIs, authentication, and CRUD operations, and improved chatbot performance by optimizing 84% of Python functions.
Remote ML & Data Analyst Intern
Feynn Labs
Jun 2025 - Aug 2025 (2 months)
Designed and deployed a computer-vision-based inventory automation system using Python and OpenCV, reducing manual errors by 85%. Automated ETL and feature-engineering pipelines with Pandas and Scikit-learn, and built real-time KPI dashboards using Streamlit and Power BI to support stakeholder decision-making.
R&D Intern
DRDO Cair Govt. of India
Oct 2024 - Jan 2025 (3 months)
Developed and optimized interpolation-based computational algorithms achieving 95% accuracy and reducing compute time by 40%. Performed model testing, benchmarking, and statistical validation under research-lab standards and documented workflows for knowledge transfer.
Education
Degrees, certifications, and relevant coursework
KS Institute of Technology
B.Tech, Artificial Intelligence and Machine Learning
2021 - 2025
Grade: CGPA-7.0
Earned a B.Tech in Artificial Intelligence and Machine Learning at KS Institute of Technology, Bengaluru (Aug 2021–May 2025). Achieved a CGPA of 7.0.
Sanskar International School
Higher Secondary (Science), Science
2021 -
Grade: CGPA-6.7
Completed Higher Secondary (Science) at Sanskar International School, Odisha (Jun 2021–Jul 2021). Achieved a CGPA of 6.7.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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