Kanishk Kalra

AI Researcher

Los Angeles, California, United States5 yrs 5 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led a team to develop predictive models.
Built scalable ML pipelines for automation.
Published research on soil moisture prediction.

Stackforce AI infers this person is a Data Scientist specializing in AI and Machine Learning applications.

Contact

kanishkkalra1999@gmail.com LinkedIn

Skills

Core Skills

Ai EngineeringMachine LearningQuantitative ModelingPredictive ModelingTeam LeadershipEvent ManagementOperations ManagementEvent CoordinationResearch And DevelopmentWeb DevelopmentComputer Vision

Other Skills

Agile DevelopmentAnalog-to-Digital Converters (ADC)Anomaly DetectionApache SupersetArduinoAutodesk InventorBERT (Language Model)BashBig Data AnalyticsBusiness CommunicationsClassificationClient-Server ModelComputer NetworkingConcurrent ProgrammingContent Development

About

I am a highly adaptable AI Data Scientist with 3+ years of experience developing scalable AI systems across quantitative modeling, automation, and research. I love to work with data and build interesting things. I have a proven track record of collaborating cross-functionally, leading end-to-end projects, & deploying robust ML pipelines. In my free time, I am an explorer. At Graviton Research Capital, I led a team of analysts and developed predictive models, optimization workflows, and risk analytics that enhanced decision-making speed and accuracy. More recently, as an AI Engineer at Athena, I built scalable pipelines, multi-agent frameworks, and LLM-powered workflows that enabled next-gen automation and drove measurable business impact. My technical expertise spans Python, SQL, Spark, TensorFlow, and cloud platforms (GCP, AWS, Snowflake), with hands-on experience in time-series forecasting, LLM applications, optimization, and deep learning. Beyond technical skills, I’m passionate about teaching, collaboration, and bridging the gap between advanced analytics and real-world decision-making. I thrive at the intersection of data, strategy, and innovation—building solutions that are not just technically sound but also business-relevant and impactful.

Experience

5 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

Current Experience

Athena

AI Engineering Intern

Jun 2025 – Present · 1 yr · Palo Alto, California, United States · On-site

Engineered end-to-end pipeline to build clickstream-based real-world task trajectory dataset, enabling next-gen agent training.
Implemented multi-agent framework for automated task execution using Supervised Fine-Tuning & Robotic Process Automation.
Developed full-stack LLM-powered workflow for online deep research to auto-generate client profiles, improving personalization while task automation.

FastAPILarge Language Models (LLM)SFTAI EngineeringMachine Learning

Graviton research capital llp

Trade Execution Analyst (L-3) | Software Developer - Quant Tools

May 2021 – May 2024 · 3 yrs · Gandhinagar, Gujarat, India · On-site

Developed optimization methods in python for algorithmic strategy parameters, boosting simulation performance by ∼20%.
Automated DAG-based execution for end-to-end strategy and risk analysis and visualization using matplotlib and superset, saving 10-15 human-hours for traders per week, having 60-70% adoption rate within first 3 months.
Analyzed global market trends and designed risk analysis models as KPIs, estimating risk exposure at strategy, team, & firm levels.
Single point of contact to retrieve, clean, and streamline millions of rows of trading data (prices, corporate actions, fundamentals, broker estimates and ratings) from third-party sources, using pandas, bash, and SQL, reducing research times by at-least 30%.
Built from scratch a 10-member analyst team at Graviton, directly supervised 5 analysts.
Collaborated with 6+ cross-functional teams to gather requirements, define project scopes, ensure business alignment, and conduct presentations, fostering team-work and clear communication, and driving specific actionable goals.

Apache SupersetOptimizationStatsmodelsGitData VisualizationPython (Programming Language)+20

Technical council | indian institute of technology ganhinagar

2 roles

Technical Secretary

Aug 2020 – May 2021 · 9 mos

Managed all technical clubs at IIT Gandhinagar
Organized tech events and festivals to upskill students and provide exposure.
Increased participation and improved social media engagement.

Cross-functional Team LeadershipSoftware Development Life Cycle (SDLC)Team BuildingContent DevelopmentBusiness CommunicationsTeam Leadership+1

Technical Management Coordinator

Apr 2019 – Jul 2020 · 1 yr 3 mos

Handled all operations of Technical Council.
Contingent Leader for IIT Gandhinagar at Inter-IIT Tech Meet 8.0.

Web Content WritingRequirements GatheringOperations ManagementPresentation SkillsSocial MediaEvent Coordination

Shantou university

Research Intern

Feb 2020 – Jun 2020 · 4 mos · China · Remote

Single-handedly created trilingual web-app to predict soil moisture, utilized in precision farming and to discover locust habitats.
Estimated soil water content, using image processing, accurately up to 1-3% of conventional manual processing technique.
Springer Publication as first author: A Simple Trilingual APP for Determining Near-Surface Soil Moisture @Indian Geotechnical Journal 2022 by Kalra, K., Gadi, V.K., Alybaev, D. et al. | DOI: https://doi.org/10.1007/s40098-020-00487-3

Technical WritingOpenCVDjangoPython (Programming Language)Research ProjectsComputer Vision+4

Capgemini

Machine Learning Intern

May 2019 – Jul 2019 · 2 mos · Gandhinagar, Gujarat, India · On-site

Worked in a 5-member cross-disciplinary team to build an end-to-end employee safety system for 2-wheeler users.
Implemented 2-wheeler detection and face detection using YOLO-Darknet, helmet detection using xg-boost, and license-plate detection using transfer learning on self-created dataset using Mask R-CNN model.
Developed web-based dashboard on django for analytics on helmet usage by employees, online learning of wrongly classified objects, sending out automated fines. Project deployed on-premises, improving helmet compliance by about 50% within first month.

ClassificationTransfer LearningMachine LearningJiraConvolutional Neural Networks (CNN)Computer Vision+7