analyze my resume - Sahil Bhatt + Toronto, ON # sahil.bhatt@...

Prompt

analyze my resume - Sahil Bhatt + Toronto, ON # sahil.bhatt@torontomu.ca „ 647-884-4257 § Google Scholar ð LinkedIn § Github Education Toronto Metropolitan University Master of Applied Science (MASc), Mechanical & Industrial Engineering (GPA: 4.28/4.33) Sep 2022 – Oct 2024 ◦ Specialized in Operations Research, Mathematical Optimization, and Reinforcement Learning. ◦ Awarded Queen Elizabeth II Graduate Scholarship in Science & Technology ($15,000) — merit-based award recognizing Ontario’s top-performing graduate students, and Graduate Fellowship ($12,000). ◦ Named finalist for the Gilbert Laporte Award by the Canadian Operational Research Society (CORS) for exceptional scientific contributions to Operational Research (OR) in Transportation and Logistics. 2 Experience AI Career Accelerator Program Participant (Work-Integrated Learning) Alberta Machine Intelligence Institute (Amii) — Edmonton, AB Apr 2026 – Present ◦ Participating in two Amii Technical Advisement programs: Client Coaching and Project Validation. ◦ Collaborate with Machine Learning Scientists to translate client business problems into practical ML project plans by discussing potential methods, reviewing research, and identifying technical risks. ◦ Prepare coaching reports and research summaries explaining recommended ML approaches. Applied Scientist - Optimization and Algorithms Toronto Metropolitan University Sep 2024 – Nov 2025 ◦ Developed a two-stage stochastic optimization model for last-mile supply chain fleet planning, coupling a tactical mixed-integer optimization model with an operational Markov decision process solved via value function approximation and Monte Carlo simulation, achieving 97% service level and 93% driver utilization. ◦ Published research in Omega — The International Journal of Management Science (Elsevier). 2 Data Scientist (Reinforcement Learning and Operations Research) Mitacs Accelerate Program Sep 2024 – Aug 2025 ◦ Formulated industrial patent classification as a Markov decision process with document-query similarity as state and routing decisions between automated matching and human review as actions. ◦ Trained a threshold-based policy using historical examiner labels as the reward signal, reducing manual review workload by 60% while preserving baseline classification quality. Computational Behavioral Modeling Machine Learning Engineer AfterQuery — Y Combinator and Box Group-backed AI Research Lab 2 May 2026 – Present ◦ Conducting ML research at a frontier AI research lab that produces novel datasets and experimentation in support of all leading AI labs, applying reinforcement learning, Bayesian inference, and deep learning. ◦ Build, fit, and evaluate models for decision-making inference and agent-based behavioral simulation. Machine Learning Researcher Toronto Metropolitan University — Rogers Cybersecure Catalyst 2 Nov 2025 – Feb 2026 ◦ Co-authoring a peer-reviewed conference paper with Dr. Jordan Melzer, Chief Technology Officer at TELUS Communications, on ML-driven behavioural safety constraints for IoT systems. ◦ Designed prototype security testing framework achieving 85% accuracy in automated threat detection. Selected Publications Fleet Size Planning in Crowdsourced Delivery: Balancing Service Level and Driver Utilization. Omega. 2 Cyber-Physical Security: Behaviour Limits for the Internet of Things. Under review, CCECE 2026. Optimizing Fleet Size Management in Crowdsourced Delivery. 2 Technical Skills Operations Research and Optimization: Mixed-integer linear programming (MILP), stochastic programming, distributionally robust optimization, approximate dynamic programming, Markov decision processes (MDPs), simulation, vehicle routing problems (VRP/VRPTW), traveling salesman problem (TSP), column generation. Reinforcement Learning and Applied ML: Policy learning, reward design, threshold policies, agent-based simulation, Bayesian inference, supervised learning, model evaluation, active learning, drift monitoring. Tools and Programming: Python, Gurobi, CPLEX, OR-Tools, Pyomo, NumPy, Pandas, PyTorch, scikitlearn, SQL, C, C++, MATLAB, R, Git, SLURM, Jupyter, LaTeX.; my goal is to land a job in my field, preferably in Canada since it's generally easiest, in my experience, to get a job in Canada since I am a Canadian citizen and wouldn't face work authorization issues (operations research, mathematical optimization, and reinforcement learning are my main areas of expertise, in particular, focus on operations research and optimization, but I am also open to broader roles such as machine learning/data science - use your best judgment to target roles appropriately based on my background); act as a research agent, your goal is to do your utmost to help me achieve my goal; do as thorough research as possible, take your time, but answer this in the best, most detailed, comprehensive manner possible - my goal is to find a job, preferably in canada but open to relocate, in my field; recommend the best, most effective, fully autnomous job application agents that are currently available that are most suited for my background and goals; by fully autnomous i mean it should apply autonomically without any intervention on my part ; recommend all relevant options , even if some are not quite the best (first list the most suitable ones, then in different categories you can provide other options); also indicate the pricing, reliability, trustworthiness, effectiveness, and if they have any free tier to test out the product and if yes what it includes, and if it has any free trial/money-back guarantee ; to inform recommendations, you should search on any and all relevant sites - linkedin, ycombinator, youtube, google, social media, facebook, twitter/x, instagram, etc. to find the relevant options - search everywhere you can , take your time but be thorough ; also, of them, state those options that have some sort of free tier to test it out before committing, that does not require upfront payment or debit/credit card info, and applies autonomously during the free tier provide links and relevant sources to access each option you mention as well as setup instructions; when providing options, you should also explore creative avenues and provide alternate options that are not specifically intended for job automation but can be tailored to that, e.g. browser/computer automation or GitHub repos or other projects i can adapt for job automation ; also, for each option, provide the relevant details you indicated previously, but also how much it costs to upgrade beyond the free option and how many applications would be submitted daily once i upgrade; my concern is that the free tiers indicated tend to submit very few autnomous applications that are insufficient for me to test them out properly; thus you should also indicate how much it costs to upgrade beyond the free option and how many applications would be submitted daily once i upgrade; you also need to indicate the upgrade costs and the platform's reliability and overall trustworthiness, and any measures of trustworthiness when paying or giving a payment option (ie is it backed by reliable soruces like ycombinator, trustpilot or other trust rating, does it accept reliable payment options like paypal that provide buyer protection, etc. - provide an overall trust rating); my concern is that the free tiers indicated tend to submit very few autnomous applications that are insufficient for me to test them out properly note that you should provide the ALL existing completely autnomous options (that is, my comptuer is shut down, and no intervention on my part is needed) that apply to jobs autonomously, and have a free plan/tier during which jobs are autnomously applied to WITHOUT needing any upfront payment or payment information; provide all such options that exist - i am deliberailty keeping 'options' broad - it could be a website, a github repo i need to download (and potentially pay for api keys or get free api if possible), options described on youtube or social media, or anything else you deem relevant based on a thoorugh search of all the web, google, youtube, social media, github, facebook, twitter, instagram, and elsewhere; for each possible option - provide the details, such as it is free, how much setup effort it needs, how to set it up, does it need payment info upfront or has a free trial, is it open-source, how many applications it submits for free and for how long, etc. ; be as thorough as possible, if you feel an option may be relevant even if you are not fully sure, just include it and take note of that ; when providing options, you can also be creative and provide alternate options that are not specifically for job automation but can be tailored to that, e.g. browser/computer automation or GitHub repos or other projects i can adapt for job automation; finally for each option rate its effectiveness in meeting my goal of landing a job in my field; finally, do NOT ask me for any further clarification before responding - you should use your best judgment, making assumptions if need be as you deem appropriate, and you should provide a thorough response that best meets your requirements per your best judgment ; also, please see this info that is also relevant - 4. What's your realistic monthly budget for tools, if a paid tier turns out to be worth it? (You asked for upgrade pricing, so I want to know what range to focus on.) Provide all possible options and their pricing for different tiers including the free tier, along with how many applications per day can be submitted in each tier; I will decide whether it fits my budget independently 5. How technical are you? Specifically: are you comfortable running Python scripts, using Docker, setting up cron jobs on a VPS, and managing API keys? This determines whether the open-source/DIY options (which are the only genuinely free-and-unlimited autonomous route) are viable for you. Again, provide a broad response, specifying how technical I need to be for each option, but provide as thorough a response as possible 6. Do you have a cloud VPS or would you need to set one up? (Relevant for "computer off" operation with self-hosted tools.) Again, provide a broad response, specifying whether it needs a cloud VPS or other setup details, but provide as thorough a response as possible 7. Are you willing to accept LinkedIn account risk? Some tools are much more effective but carry real ban risk. Others stick to safer job boards. Again, provide a broad response, specifying whether it creates such risk, but provide as thorough a response as possible 8. Would you consider "semi-autonomous" (tool queues up applications, you click approve in bulk once a day, 5 minutes) as an acceptable fallback if fully autonomous options turn out to be weak or untrustworthy? I ask because that category is far larger and more reliable. Again, provide a broad response, specifying whether it is semi-autonomous or fully autonomous (first include the fully autonomous options, then provide other options grouping them by level of autonomy), but provide as thorough a response as possible Importantly, for each option, provide links to the source and other relevant sources such as those useful for me to set it up, and also give detailed setup instructions Lastly: if you need any other clarification, do NOT ask me for clarification, instead state your assumptions, and proceed with your best judgment